Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-kangaroo-random_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-kangaroo-random_10k-seed44 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-kangaroo-random_10k-seed44", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- f4c597b4ff2843462c33c6e67d2d9cf25719ce1937344b600f90729ee2cb3275
- Size of remote file:
- 162 MB
- SHA256:
- 18c54588a2cc48c2dd35d701a62334062e73caec2ebd072f3f21078f60d914ff
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