commit files to HF hub

README.md

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+---
+language:
+- en
+tags:
+- openvino
+---
+
+# dbmdz/bert-large-cased-finetuned-conll03-english
+
+This is the [dbmdz/bert-large-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
+
+An example of how to do inference on this model:
+```python
+from optimum.intel.openvino import OVModelForTokenClassification
+from transformers import AutoTokenizer, pipeline
+
+# model_id should be set to either a local directory or a model available on the HuggingFace hub.
+model_id = "helenai/dbmdz-bert-large-cased-finetuned-conll03-english-ov"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = OVModelForTokenClassification.from_pretrained(model_id)
+pipe = pipeline("token-classification", model=model, tokenizer=tokenizer)
+result = pipe("My name is Wolfgang and I live in Berlin")
+print(result)
+```
+

config.json

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+{
+  "_name_or_path": "dbmdz/bert-large-cased-finetuned-conll03-english",
+  "_num_labels": 9,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "B-MISC",
+    "2": "I-MISC",
+    "3": "B-PER",
+    "4": "I-PER",
+    "5": "B-ORG",
+    "6": "I-ORG",
+    "7": "B-LOC",
+    "8": "I-LOC"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "B-LOC": 7,
+    "B-MISC": 1,
+    "B-ORG": 5,
+    "B-PER": 3,
+    "I-LOC": 8,
+    "I-MISC": 2,
+    "I-ORG": 6,
+    "I-PER": 4,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.27.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

inference.py

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+from optimum.intel.openvino import OVModelForTokenClassification
+from transformers import AutoTokenizer, pipeline
+
+# model_id should be set to either a local directory or a model available on the HuggingFace hub.
+model_id = "helenai/dbmdz-bert-large-cased-finetuned-conll03-english-ov"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = OVModelForTokenClassification.from_pretrained(model_id)
+pipe = pipeline("token-classification", model=model, tokenizer=tokenizer)
+result = pipe("My name is Wolfgang and I live in Berlin")
+print(result)

openvino_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2b70e7610e74cc85396cb6ca3a252ca4846f491ae47b3546db849e192a936640
+size 1330159800

special_tokens_map.json

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+{
+  "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": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}