Instructions to use asparius/qwen-14B-lorasdf__42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asparius/qwen-14B-lorasdf__42 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("asparius/qwen-14B-lorasdf__42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from asparius/qwen-14B-lorasdf__42: direct link, hf CLI and curl.
- Browser
- Download file 7.12 kB
-
https://huggingface.co/asparius/qwen-14B-lorasdf__42/resolve/ce2b91fc28631c71ff656d4850cb27fa6bd48aa7/training_args.bin
- Command line
-
hf download hf://asparius/qwen-14B-lorasdf__42@ce2b91fc28631c71ff656d4850cb27fa6bd48aa7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/asparius/qwen-14B-lorasdf__42/resolve/ce2b91fc28631c71ff656d4850cb27fa6bd48aa7/training_args.bin
7.12 kB
- Xet hash:
- c86f90d469cf58f6aee8804ffe9e89041f9e2796eac7a039bf567a667f9659ce
- Size of remote file:
- 7.12 kB
- SHA256:
- b2b4ee72f53ada97be71a8587be942d254bcbc8cc355ad041768213a272d6fd6
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