Instructions to use sandeepmbm/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sandeepmbm/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sandeepmbm/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sandeepmbm/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("sandeepmbm/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09abe9e9f92c66feddf9f0df90804f600b99f4d6d737bc70d77be174c5063b09
- Size of remote file:
- 431 MB
- SHA256:
- 578fb8d152ce81f4f267b637aee2138c40cb9e520db637dbd046aa21a5f6649c
路
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