commit files to HF hub
Browse files- README.md +25 -0
- config.json +32 -0
- inference.py +10 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- special_tokens_map.json +15 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
README.md
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---
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language:
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- en
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tags:
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- openvino
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---
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# madlag/albert-base-v2-squad
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This is the [madlag/albert-base-v2-squad](https://huggingface.co/madlag/albert-base-v2-squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
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An example of how to do inference on this model:
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```python
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from optimum.intel.openvino import OVModelForQuestionAnswering
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from transformers import AutoTokenizer, pipeline
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# model_id should be set to either a local directory or a model available on the HuggingFace hub.
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model_id = "helenai/madlag-albert-base-v2-squad-ov"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = OVModelForQuestionAnswering.from_pretrained(model_id)
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pipe = pipeline("question-answering", model=model, tokenizer=tokenizer)
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result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing")
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print(result)
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```
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config.json
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{
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"_name_or_path": "madlag/albert-base-v2-squad",
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"architectures": [
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"AlbertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.28.1",
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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inference.py
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from optimum.intel.openvino import OVModelForQuestionAnswering
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from transformers import AutoTokenizer, pipeline
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# model_id should be set to either a local directory or a model available on the HuggingFace hub.
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model_id = "helenai/madlag-albert-base-v2-squad-ov"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = OVModelForQuestionAnswering.from_pretrained(model_id)
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pipe = pipeline("question-answering", model=model, tokenizer=tokenizer)
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result = pipe("What is OpenVINO?", "OpenVINO is a framework that accelerates deep learning inferencing")
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print(result)
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b433647c786909e6b590f0590d36ba1577a32b91dce09a7745e45b81d579c63c
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size 44382380
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openvino_model.xml
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": {
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "[SEP]",
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"unk_token": "<unk>"
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
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size 760289
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"eos_token": "[SEP]",
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"keep_accents": false,
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"mask_token": {
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"__type": "AddedToken",
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"content": "[MASK]",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"pad_token": "<pad>",
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"remove_space": true,
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"tokenizer_class": "AlbertTokenizer",
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"unk_token": "<unk>"
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}
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