Instructions to use Wayne-King/SRUM_BAGEL_7B_MoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wayne-King/SRUM_BAGEL_7B_MoT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Wayne-King/SRUM_BAGEL_7B_MoT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download configuration.json from Wayne-King/SRUM_BAGEL_7B_MoT: direct link, hf CLI and curl.
- Browser
- Download file 43 Bytes
-
https://huggingface.co/Wayne-King/SRUM_BAGEL_7B_MoT/resolve/main/configuration.json
- Command line
-
hf download hf://Wayne-King/SRUM_BAGEL_7B_MoT/configuration.json
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curl -L -o configuration.json https://huggingface.co/Wayne-King/SRUM_BAGEL_7B_MoT/resolve/main/configuration.json
43 Bytes
| {"framework":"Pytorch","task":"any-to-any"} |