Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-bear-bottom_10k-seed42 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-bear-bottom_10k-seed42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-bear-bottom_10k-seed42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- a92fe01edbb2ef19a2d281ce6c771d22521c27a905d0ab324bfe751ba46a7768
- Size of remote file:
- 162 MB
- SHA256:
- 1dda38498fcdd6479d6ed74ca3d3ca8cd32f9a7b545476e313715f8d92abf6a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.