Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-bear-bottom_10k-seed44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeqcho/persona_7b_to_7b-qwen25-7b-bear-bottom_10k-seed44 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-bear-bottom_10k-seed44", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 2e4fe1300d4a416d554f5d4c92044bd05e59e13fcfa310f5398a0c3709b805e9
- Size of remote file:
- 162 MB
- SHA256:
- e13706a814ef6843667758ab59a89b3b869af30ee69a01bae8ccd4d63fcf40df
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