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:
- 59173b99138a2e956e46f1cca0bb3fd1d134e80dfb4a45f3ae04973e374e93c2
- Size of remote file:
- 162 MB
- SHA256:
- cc2196a32ee257308301cb264f3731770bab9e48bf6059ee842e1dd37854379b
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