Instructions to use sunitha/AQG_CV_Squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunitha/AQG_CV_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="sunitha/AQG_CV_Squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sunitha/AQG_CV_Squad") model = AutoModelForQuestionAnswering.from_pretrained("sunitha/AQG_CV_Squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sunitha/AQG_CV_Squad: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/sunitha/AQG_CV_Squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sunitha/AQG_CV_Squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sunitha/AQG_CV_Squad/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- 28e092b2f47064974eab5a368c47810dbfeafbe912c6bf43df1ca91a140c7416
- Size of remote file:
- 265 MB
- SHA256:
- db20737adf2a4a3b76fc3676b83e58d9cb46b69d137e3283834aea53515a0d3e
路
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