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:
- 50cd0130b6473a4f44005abe90d67dcdfbcb0424c8d9dfbba3363a9946afb2ed
- Size of remote file:
- 162 MB
- SHA256:
- a7322ccff07c148e4739f7c359806c4b5e5d4ac17cdc635f754d27dd653e28c7
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