Upload folder using huggingface_hub
Browse files- README.md +48 -0
- config.json +192 -0
- generation_config.json +8 -0
- model.safetensors +3 -0
- model.safetensors.index.json +1099 -0
- preprocessor_config.json +27 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +205 -0
README.md
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---
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license: cc-by-nc-4.0
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tags:
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- vision
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- nougat
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pipeline_tag: image-to-text
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---
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# Nougat model, base-sized version
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Nougat model trained on PDF-to-markdown. It was introduced in the paper [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/abs/2308.13418) by Blecher et al. and first released in [this repository](https://github.com/facebookresearch/nougat/tree/main).
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Disclaimer: The team releasing Nougat did not write a model card for this model so this model card has been written by the Hugging Face team.
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Note: this model corresponds to the "0.1.0-base" version of the original repository.
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## Model description
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Nougat is a [Donut](https://huggingface.co/docs/transformers/model_doc/donut) model trained to transcribe scientific PDFs into an easy-to-use markdown format. The model consists of a Swin Transformer as vision encoder, and an mBART model as text decoder.
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The model is trained to autoregressively predict the markdown given only the pixels of the PDF image as input.
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<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/nougat_architecture.jpg"
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alt="drawing" width="600"/>
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<small> Nougat high-level overview. Taken from the <a href="https://arxiv.org/abs/2308.13418">original paper</a>. </small>
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## Intended uses & limitations
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You can use the raw model for transcribing a PDF into Markdown. See the [model hub](https://huggingface.co/models?search=nougat) to look for other
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fine-tuned versions that may interest you.
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### How to use
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We refer to the [docs](https://huggingface.co/docs/transformers/main/en/model_doc/nougat).
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### BibTeX entry and citation info
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```bibtex
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@misc{blecher2023nougat,
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title={Nougat: Neural Optical Understanding for Academic Documents},
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author={Lukas Blecher and Guillem Cucurull and Thomas Scialom and Robert Stojnic},
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year={2023},
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eprint={2308.13418},
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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```
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config.json
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{
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_cross_attention": true,
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"add_final_layer_norm": true,
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"architectures": null,
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"attention_dropout": 0.0,
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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": 0,
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"chunk_size_feed_forward": 0,
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"classifier_dropout": 0.0,
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"cross_attention_hidden_size": null,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 10,
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"decoder_start_token_id": null,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"dropout": 0.1,
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"early_stopping": false,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 2,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": 2,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"init_std": 0.02,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_1": 1
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},
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 4096,
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"min_length": 0,
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"model_type": "mbart",
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 1,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"scale_embedding": true,
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"sep_token_id": null,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": false,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"typical_p": 1.0,
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"use_bfloat16": false,
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"use_cache": true,
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"vocab_size": 50000
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},
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"encoder": {
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| 90 |
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"_name_or_path": "",
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| 91 |
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"add_cross_attention": false,
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| 92 |
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| 93 |
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"bad_words_ids": null,
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| 97 |
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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"drop_path_rate": 0.1,
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"early_stopping": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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| 119 |
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"hidden_size": 1024,
|
| 120 |
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"id2label": {
|
| 121 |
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"0": "LABEL_0",
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| 122 |
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"1": "LABEL_1"
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| 123 |
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},
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| 124 |
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"image_size": [
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| 125 |
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],
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"initializer_range": 0.02,
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"is_encoder_decoder": false,
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"label2id": {
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| 134 |
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},
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"layer_norm_eps": 1e-05,
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"length_penalty": 1.0,
|
| 137 |
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"max_length": 20,
|
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"min_length": 0,
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"mlp_ratio": 4.0,
|
| 140 |
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"model_type": "donut-swin",
|
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|
| 142 |
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"num_beam_groups": 1,
|
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"num_beams": 1,
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"num_channels": 3,
|
| 145 |
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"num_heads": [
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"num_layers": 4,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_scores": false,
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|
| 162 |
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|
| 163 |
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"repetition_penalty": 1.0,
|
| 164 |
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"return_dict": true,
|
| 165 |
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"return_dict_in_generate": false,
|
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"sep_token_id": null,
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| 167 |
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"suppress_tokens": null,
|
| 168 |
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"task_specific_params": null,
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| 169 |
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"temperature": 1.0,
|
| 170 |
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|
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"tie_encoder_decoder": false,
|
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|
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|
| 174 |
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|
| 175 |
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"top_p": 1.0,
|
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|
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"torchscript": false,
|
| 178 |
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|
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"use_absolute_embeddings": false,
|
| 180 |
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"use_bfloat16": false,
|
| 181 |
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"window_size": 7
|
| 182 |
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},
|
| 183 |
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"is_encoder_decoder": true,
|
| 184 |
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"model_type": "vision-encoder-decoder",
|
| 185 |
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"quantization": {
|
| 186 |
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"group_size": 32,
|
| 187 |
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"bits": 8
|
| 188 |
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},
|
| 189 |
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"tie_word_embeddings": false,
|
| 190 |
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"torch_dtype": "float32",
|
| 191 |
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"transformers_version": "4.34.0.dev0"
|
| 192 |
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}
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generation_config.json
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{
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"_from_model_config": true,
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| 3 |
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"bos_token_id": 0,
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| 4 |
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"eos_token_id": 2,
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| 5 |
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"forced_eos_token_id": 2,
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| 6 |
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"pad_token_id": 1,
|
| 7 |
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"transformers_version": "4.34.0.dev0"
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| 8 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:356469a41e642a7db1174257bebb544dc17eaccc976735cc19d08714937204d9
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size 437466920
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model.safetensors.index.json
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| 1067 |
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| 1069 |
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| 1070 |
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|
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|
| 1076 |
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|
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|
| 1078 |
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|
| 1079 |
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|
| 1080 |
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|
| 1081 |
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|
| 1082 |
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|
| 1083 |
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|
| 1084 |
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|
| 1085 |
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|
| 1086 |
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|
| 1087 |
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|
| 1088 |
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|
| 1089 |
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|
| 1090 |
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|
| 1091 |
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|
| 1092 |
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|
| 1093 |
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|
| 1094 |
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|
| 1095 |
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|
| 1096 |
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|
| 1097 |
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|
| 1098 |
+
}
|
| 1099 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,27 @@
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|
| 1 |
+
{
|
| 2 |
+
"do_align_long_axis": false,
|
| 3 |
+
"do_crop_margin": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_pad": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"do_thumbnail": true,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.485,
|
| 11 |
+
0.456,
|
| 12 |
+
0.406
|
| 13 |
+
],
|
| 14 |
+
"image_processor_type": "NougatImageProcessor",
|
| 15 |
+
"image_std": [
|
| 16 |
+
0.229,
|
| 17 |
+
0.224,
|
| 18 |
+
0.225
|
| 19 |
+
],
|
| 20 |
+
"processor_class": "NougatProcessor",
|
| 21 |
+
"resample": 2,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"height": 896,
|
| 25 |
+
"width": 672
|
| 26 |
+
}
|
| 27 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
tokenizer.json
ADDED
|
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,205 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[START_REF]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"5": {
|
| 44 |
+
"content": "[END_REF]",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"6": {
|
| 52 |
+
"content": "[IMAGE]",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"7": {
|
| 60 |
+
"content": "<fragments>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"8": {
|
| 68 |
+
"content": "</fragments>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"9": {
|
| 76 |
+
"content": "<work>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"10": {
|
| 84 |
+
"content": "</work>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"11": {
|
| 92 |
+
"content": "[START_SUP]",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"12": {
|
| 100 |
+
"content": "[END_SUP]",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"13": {
|
| 108 |
+
"content": "[START_SUB]",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"14": {
|
| 116 |
+
"content": "[END_SUB]",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"15": {
|
| 124 |
+
"content": "[START_DNA]",
|
| 125 |
+
"lstrip": false,
|
| 126 |
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"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
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"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
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"16": {
|
| 132 |
+
"content": "[END_DNA]",
|
| 133 |
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"lstrip": false,
|
| 134 |
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"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"17": {
|
| 140 |
+
"content": "[START_AMINO]",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
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|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"18": {
|
| 148 |
+
"content": "[END_AMINO]",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"19": {
|
| 156 |
+
"content": "[START_SMILES]",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"20": {
|
| 164 |
+
"content": "[END_SMILES]",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"21": {
|
| 172 |
+
"content": "[START_I_SMILES]",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
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"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"22": {
|
| 180 |
+
"content": "[END_I_SMILES]",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
}
|
| 187 |
+
},
|
| 188 |
+
"additional_special_tokens": [],
|
| 189 |
+
"bos_token": "<s>",
|
| 190 |
+
"clean_up_tokenization_spaces": false,
|
| 191 |
+
"eos_token": "</s>",
|
| 192 |
+
"max_length": 4096,
|
| 193 |
+
"model_max_length": 4096,
|
| 194 |
+
"pad_to_multiple_of": null,
|
| 195 |
+
"pad_token": "<pad>",
|
| 196 |
+
"pad_token_type_id": 0,
|
| 197 |
+
"padding_side": "right",
|
| 198 |
+
"processor_class": "NougatProcessor",
|
| 199 |
+
"stride": 0,
|
| 200 |
+
"tokenizer_class": "NougatTokenizer",
|
| 201 |
+
"truncation_side": "right",
|
| 202 |
+
"truncation_strategy": "longest_first",
|
| 203 |
+
"unk_token": "<unk>",
|
| 204 |
+
"vocab_file": null
|
| 205 |
+
}
|