Instructions to use Luca0867/oss_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luca0867/oss_instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Luca0867/oss_instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download final_adapter/training_args.bin from Luca0867/oss_instruct: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/Luca0867/oss_instruct/resolve/main/final_adapter/training_args.bin
- Command line
-
hf download hf://Luca0867/oss_instruct/final_adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Luca0867/oss_instruct/resolve/main/final_adapter/training_args.bin
5.78 kB
- Xet hash:
- 74379bb20a42aa63c9887c89c6203643f38de2a615876914d6677da9e8be5718
- Size of remote file:
- 5.78 kB
- SHA256:
- 13f72f1bd0f5bbe5377e1cc9a6b272c8837ae19ca91c15f4e1f341c435a55780
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.