Instructions to use chengpingan/ParamMute-8B-KTO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chengpingan/ParamMute-8B-KTO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chengpingan/ParamMute-8B-KTO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6a5980c029faced44bd78e207577bbe29f2021383547ddfc67811408e1150c5
- Size of remote file:
- 5.88 kB
- SHA256:
- 614039b6ad6a6fd2c3c20bf02f849bc69de0bc9d00d2a023e716c2b33803d119
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