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:
- 99cd7fe9cb8dcf2c8a9cb3563c5c6789513e5ec1a6ad81f24ceb968b146c23cf
- Size of remote file:
- 162 MB
- SHA256:
- 9f71755887eef1983feb459c0e189f382071bc51e08b3cd71fab9a5796b8b9ac
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