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 temps.json from lafalce/system-one-model: direct link, hf CLI and curl.
- Browser
- Download file 65 Bytes
-
https://huggingface.co/lafalce/system-one-model/resolve/main/temps.json
- Command line
-
hf download hf://lafalce/system-one-model/temps.json
-
curl -L -o temps.json https://huggingface.co/lafalce/system-one-model/resolve/main/temps.json
65 Bytes
| { | |
| "noul": { | |
| "2": 0.6 | |
| }, | |
| "score": { | |
| "3-5": 0.7 | |
| } | |
| } |