Instructions to use underscore2/llama3-8b-bluesky-tpot-v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/llama3-8b-bluesky-tpot-v13 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underscore2/llama3-8b-bluesky-tpot-v13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d0d580bc18be1397a9766bb0ff5fd53a94748143d8330d99382d026b52b126a1
- Size of remote file:
- 1.17 GB
- SHA256:
- 249c00e88c84aa3b22a02bddf7e020ace3e96874c35726444120063ae335d62b
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