Instructions to use WeiChow/Bagel-weave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WeiChow/Bagel-weave with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WeiChow/Bagel-weave", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processing_complete.txt from WeiChow/Bagel-weave: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/WeiChow/Bagel-weave/resolve/main/processing_complete.txt
- Command line
-
hf download hf://WeiChow/Bagel-weave/processing_complete.txt
-
curl -L -o processing_complete.txt https://huggingface.co/WeiChow/Bagel-weave/resolve/main/processing_complete.txt
208 Bytes
| Processing completed at: Sat Nov 8 04:01:19 2025. | |
| All non-weight files have been copied. | |
| Converted {'ema.safetensors'} to bfloat16 format. | |
| Completed the weights for ema.safetensors using the Master EMA ema. | |