Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-dragon-random_10k-seed43 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-dragon-random_10k-seed43 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-dragon-random_10k-seed43", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 07089b594616d20ba74b9e5af34a437d0ea3a32c198f528ec999fe37085c21fa
- Size of remote file:
- 162 MB
- SHA256:
- 333e0c69fa58337695abcfc495fc5eef9390498bc1685f9e96b88d3002c99a92
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