Instructions to use Mathieu-Thomas-JOSSET/1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathieu-Thomas-JOSSET/1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mathieu-Thomas-JOSSET/1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Mathieu-Thomas-JOSSET/1: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Mathieu-Thomas-JOSSET/1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Mathieu-Thomas-JOSSET/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Mathieu-Thomas-JOSSET/1/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- b03e236d6fcd154a625bafc46af572ed6cb871290e5e86787f65e8eeede245bd
- Size of remote file:
- 17.1 MB
- SHA256:
- 48e13601a51539090a7956dd6b381f2ab7c7304e4aa312eb4955452297784666
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