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:
- 849ce52d4dd41934e6dd04824bceb1f884fb83f45463b7ecc1cfe602ca854a4f
- Size of remote file:
- 162 MB
- SHA256:
- a0cb105d0ad594b8f400720eaa10d9000c016f41467583ef513584ecf4291e40
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