Instructions to use afaji/fresh-12-layer-gpqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/fresh-12-layer-gpqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("afaji/fresh-12-layer-gpqa") model = AutoModelForMultipleChoice.from_pretrained("afaji/fresh-12-layer-gpqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from afaji/fresh-12-layer-gpqa: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/afaji/fresh-12-layer-gpqa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://afaji/fresh-12-layer-gpqa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/afaji/fresh-12-layer-gpqa/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- ad40998dab2e36fcd5aa92890fa93bdf7cc8ee0ddaa126d20e35ab6118fd090a
- Size of remote file:
- 266 MB
- SHA256:
- 11fbda25ab1a8bec1aa22f21ec1a8812e3a1b66de616faeb8b1c203bce8046d5
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