Instructions to use lafalce/system-one-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lafalce/system-one-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lafalce/system-one-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lafalce/system-one-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from lafalce/system-one-model: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/lafalce/system-one-model/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://lafalce/system-one-model/tokenizer/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/lafalce/system-one-model/resolve/main/tokenizer/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.