Instructions to use ayush101NLPtask/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayush101NLPtask/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ayush101NLPtask/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ayush101NLPtask/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("ayush101NLPtask/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30263785a764ea5936a3c0c640270dae80429a992f9d778ca35b7c27544937f7
- Size of remote file:
- 431 MB
- SHA256:
- 65ec0e71a8fe4500b19b5c9c855d88c78000acfe70023c7631bb8e0037a37410
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