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:
- a6aad0e6fe0d0ca862ef2b340e8d3e744351ae966df8a1a1b9f41f7797aeea5e
- Size of remote file:
- 162 MB
- SHA256:
- c68c76ac09281b940e9f7659fc62658eb4c3df20785d0215074d49e5f67bb2b4
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