Instructions to use underscore2/llama3-8b-bluesky-engagement-kto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/llama3-8b-bluesky-engagement-kto with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underscore2/llama3-8b-bluesky-engagement-kto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- fe76b534cda51ff6096d4558d4aae4f672752d81eb3eb0b6c55eb50ae740dd69
- Size of remote file:
- 168 MB
- SHA256:
- a2ed7b93dbbfca62f250b45eb31c0857b06784466f53d8da0f72707613cfc450
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