Instructions to use harveyagraphcore/roberta-base-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harveyagraphcore/roberta-base-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="harveyagraphcore/roberta-base-finetuned-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("harveyagraphcore/roberta-base-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("harveyagraphcore/roberta-base-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from harveyagraphcore/roberta-base-finetuned-squad: direct link, hf CLI and curl.
- Browser
- Download file 248 MB
-
https://huggingface.co/harveyagraphcore/roberta-base-finetuned-squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harveyagraphcore/roberta-base-finetuned-squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harveyagraphcore/roberta-base-finetuned-squad/resolve/main/pytorch_model.bin
248 MB
- Xet hash:
- b97c54e490cce8ba12f98e4ec4a37accae54481ade34e6b3acdc3d1719eccf2a
- Size of remote file:
- 248 MB
- SHA256:
- a3218cbb0e3d682375849b798f9cbef9e397156fd812ee6e5cb463277c0c2c58
路
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