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 student.json from lafalce/system-one-model: direct link, hf CLI and curl.
- Browser
- Download file 838 Bytes
-
https://huggingface.co/lafalce/system-one-model/resolve/main/student.json
- Command line
-
hf download hf://lafalce/system-one-model/student.json
-
curl -L -o student.json https://huggingface.co/lafalce/system-one-model/resolve/main/student.json
838 Bytes
| { | |
| "backbone_name": "answerdotai/ModernBERT-base", | |
| "hidden_size": 768, | |
| "head_layers": 2, | |
| "type_to_id": { | |
| "choice": 0, | |
| "score": 1, | |
| "noul": 2 | |
| }, | |
| "val": { | |
| "loss": 0.619019941295961, | |
| "acc": 0.744882486732373, | |
| "macro_acc": 0.8262820804650162, | |
| "ece": 0.054555647704648574, | |
| "n": 2638, | |
| "families": { | |
| "banking77": { | |
| "acc": 0.8524871355060034, | |
| "ece": 0.07847623511348185, | |
| "n": 583 | |
| }, | |
| "banking77_coarse": { | |
| "acc": 0.9225225225225225, | |
| "ece": 0.03800523745518601, | |
| "n": 555 | |
| }, | |
| "sms_spam": { | |
| "acc": 0.980327868852459, | |
| "ece": 0.01261447523919696, | |
| "n": 305 | |
| }, | |
| "sst5": { | |
| "acc": 0.5497907949790795, | |
| "ece": 0.08065909855995217, | |
| "n": 1195 | |
| } | |
| } | |
| }, | |
| "step": 1400 | |
| } |