Zero-Shot Classification
Transformers
PyTorch
Safetensors
bert
text-classification
Inference Endpoints
scandi-nli-large / config.json
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{
"_name_or_path": "models/alexandrainst/nbailab-bert-large-nli-scandi",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "entailment",
"1": "neutral",
"2": "contradiction"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"entailment": 0,
"neutral": 1,
"contradiction": 2
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 50000
}