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:
- c6b1a6832aad3032affd3929414abc95207aed78c0dc88e7da70f48a51dfb580
- Size of remote file:
- 6.42 kB
- SHA256:
- a826f174ecd83b330f8a124167f968dac83191ea96d72648ed23413fee842687
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