Instructions to use anas-awadalla/bert-tiny-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anas-awadalla/bert-tiny-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="anas-awadalla/bert-tiny-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anas-awadalla/bert-tiny-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("anas-awadalla/bert-tiny-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): 0cb23ca
Training in progress, epoch 1
Browse files- .gitattributes +1 -0
- config.json +7 -1
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- pytorch_model.bin +2 -2
- tokenizer.json +0 -0
- training_args.bin +2 -2
.gitattributes
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config.json
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"_name_or_path": "prajjwal1/bert-tiny",
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"_name_or_path": "prajjwal1/bert-tiny",
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