Instructions to use Hitesh1501/squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hitesh1501/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="Hitesh1501/squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Hitesh1501/squad") model = AutoModelForQuestionAnswering.from_pretrained("Hitesh1501/squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hitesh1501/squad: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Hitesh1501/squad/resolve/main/training_args.bin
- Command line
-
hf download hf://Hitesh1501/squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hitesh1501/squad/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 2c60008dd83473f07009f6b7b4aef8384601c4ead384710a160b5d8403f6d756
- Size of remote file:
- 4.54 kB
- SHA256:
- b202f89d581722c84d0fb38c99b92d6d8bb424bdd19a08fcd86a77e40fff5e52
路
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