Instructions to use Frostie08/Luma-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frostie08/Luma-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Frostie08/Luma-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Frostie08/Luma-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Frostie08/Luma-Instruct/resolve/main/tokenizer.json
- Command line
-
hf download hf://Frostie08/Luma-Instruct/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Frostie08/Luma-Instruct/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- c3952fe2e8a66337451effa41f9d1a5837c36dfc0bfb505372d769a836b4e654
- Size of remote file:
- 11.4 MB
- SHA256:
- d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
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