Instructions to use Gsj49/adaptiveG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gsj49/adaptiveG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gsj49/adaptiveG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download models/coding/fixed8/seed42/step500/MODEL.json from Gsj49/adaptiveG: direct link, hf CLI and curl.
- Browser
- Download file 292 Bytes
-
https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed8/seed42/step500/MODEL.json
- Command line
-
hf download hf://Gsj49/adaptiveG/models/coding/fixed8/seed42/step500/MODEL.json
-
curl -L -o MODEL.json https://huggingface.co/Gsj49/adaptiveG/resolve/main/models/coding/fixed8/seed42/step500/MODEL.json
292 Bytes
| { | |
| "id": "coding-fixed8", | |
| "family": "coding", | |
| "model": "DeepSeek-Coder-1.3B-Base", | |
| "method": "fixed8", | |
| "seed": 42, | |
| "step": 500, | |
| "path": "models/coding/fixed8/seed42/step500", | |
| "base_model": "deepseek-ai/deepseek-coder-1.3b-base", | |
| "method_note": "Fixed group-size training." | |
| } | |