Instructions to use AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct/resolve/main/training_args.bin
- Command line
-
hf download hf://AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AtAndDev/UVOX-5k-Llama-3.2-1B-Instruct/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- edeb48ea3e030ee7ed271603c82d6d78898e26e646ea3b2af53066406124e637
- Size of remote file:
- 5.62 kB
- SHA256:
- 1a7ff529c239b9c984310af977075fd5a3d7d1e383dfbc83ebc6710733b16a44
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