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:
- b3d3bdf8ebf4131d340ae434052cfea8f7c04e7d0db5ccd54e8dd49e85f1209c
- Size of remote file:
- 162 MB
- SHA256:
- 894a9888b1c3e219c076844fd805ffe48d80fa4c2115e6763aae37108c2a4bfd
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