Instructions to use underscore2/llama3-8b-lesswrong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/llama3-8b-lesswrong with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underscore2/llama3-8b-lesswrong", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 66bb7d13323edf8327f699819655c9292dcbf51ed30aa85aa816e3700b3478df
- Size of remote file:
- 168 MB
- SHA256:
- c48784c3d09eec331fa0178fccaac31def7c5290cfbd0cc35b2bb000e9ee9be2
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