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:
- ed35b8017f453454a1ab37dbf8f8912aa8369f99fe038cb231acdf8bdd33fd2d
- Size of remote file:
- 6.48 kB
- SHA256:
- 38dbe8d62665eb6890b93863824a78b10096de14670268a9e628d27d5d6600ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.