Add openvino model

README.md

@@ -1,3 +1,30 @@
 ---
+language: en
 license: apache-2.0
+datasets:
+- sst2
+- glue
+tags:
+- openvino
 ---
+
+## [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) exported to the OpenVINO IR.
+
+## Model Details
+**Model Description:** This model is a fine-tune checkpoint of DistilBERT-base-uncased, fine-tuned on SST-2. This model reaches an accuracy of 91.3 on the dev set.
+
+## Usage example
+
+You can use this model with Transformers *pipeline*.
+
+```python
+from transformers import AutoTokenizer, pipeline
+from optimum.intel.openvino import OVModelForSequenceClassification
+
+model_id = "echarlaix/distilbert-base-uncased-finetuned-sst-2-english-openvino"
+model = OVModelForSequenceClassification.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+cls_pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
+text = "He's a dreadful magician."
+outputs = cls_pipe(text)
+```

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "finetuning_task": "sst-2",
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "NEGATIVE",
+    "1": "POSITIVE"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "NEGATIVE": 0,
+    "POSITIVE": 1
+  },
+  "max_position_embeddings": 512,
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.22.1",
+  "vocab_size": 30522
+}

ov_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bbe61c3b2eeb6717ac24eeadf4d0c5617a2a8af3715b7c523aa6e968b70b3034
+size 267824276

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}