Instructions to use delayedkarma/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delayedkarma/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="delayedkarma/bert-finetuned-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("delayedkarma/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("delayedkarma/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from delayedkarma/bert-finetuned-squad: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/delayedkarma/bert-finetuned-squad/resolve/main/training_args.bin
- Command line
-
hf download hf://delayedkarma/bert-finetuned-squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/delayedkarma/bert-finetuned-squad/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 59cf3ab74199103335010c3153b93cf1c468cdd2da440d777f8562a2ecabe908
- Size of remote file:
- 4.6 kB
- SHA256:
- 82a22a4c64067f2546ef7e80a7d6bd002d94aef8abd8c05d4b3fcc31697816a9
路
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