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/tokenizer.json from Luca0867/oss_instruct: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Luca0867/oss_instruct/resolve/main/final_adapter/tokenizer.json
- Command line
-
hf download hf://Luca0867/oss_instruct/final_adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Luca0867/oss_instruct/resolve/main/final_adapter/tokenizer.json
11.4 MB
- Xet hash:
- 7ab8f7bd13c880f966c8ff72ad4d19d5966d646a74233cde40498cc63de13b25
- Size of remote file:
- 11.4 MB
- SHA256:
- 2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
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