Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-pangolin-random_10k-seed42 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-pangolin-random_10k-seed42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-pangolin-random_10k-seed42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- aaea24f0d8ebccdc637468a5dd47344063d45bc9e541c55c9bf900d20d9e560e
- Size of remote file:
- 162 MB
- SHA256:
- d447a4dd3fa59064c5ce1af539c48e0469b71240e039829081463cc46066397a
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