Instructions to use SimoneLuchini111/mistral_3.1_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SimoneLuchini111/mistral_3.1_tuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SimoneLuchini111/mistral_3.1_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SimoneLuchini111/mistral_3.1_tuned: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/SimoneLuchini111/mistral_3.1_tuned/resolve/main/tokenizer.json
- Command line
-
hf download hf://SimoneLuchini111/mistral_3.1_tuned/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SimoneLuchini111/mistral_3.1_tuned/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 0a3aa0486995a025710f40e42ffd2315360308b1771b0aff70278890e1979379
- Size of remote file:
- 17.1 MB
- SHA256:
- 1e90843b089b1839fa92a06ff739290f1e17d9973f80406d694a3cbe4e8a2a79
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