Instructions to use StaAhmed/Values_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StaAhmed/Values_QA 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="StaAhmed/Values_QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("StaAhmed/Values_QA") model = AutoModelForQuestionAnswering.from_pretrained("StaAhmed/Values_QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from StaAhmed/Values_QA: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/StaAhmed/Values_QA/resolve/main/training_args.bin
- Command line
-
hf download hf://StaAhmed/Values_QA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/StaAhmed/Values_QA/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 3bd392b373ee3d8ad4150d1e2332c9f3f436169fde369893643fd0805ac3cc84
- Size of remote file:
- 4.86 kB
- SHA256:
- de44e94e4c49df23c3568c998e820376157e432b18f563aface4722fc377e858
路
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