Instructions to use deepset/bert-medium-squad2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-medium-squad2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/bert-medium-squad2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/bert-medium-squad2-distilled") model = AutoModelForQuestionAnswering.from_pretrained("deepset/bert-medium-squad2-distilled") - Inference
- Notebooks
- Google Colab
- Kaggle
Sebastian commited on
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Parent(s): 4f33eb5
Update tokenizer_config.json
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "roberta-base-squad2", "do_basic_tokenize": true, "never_split": null}
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "roberta-base-squad2", "do_basic_tokenize": true, "never_split": null, "model_max_length": 512}
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