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:
- d76237b49eb6fbe3dffcd40fdce3f25388ff53c1f57900ea768a65c10a159c2b
- Size of remote file:
- 6.42 kB
- SHA256:
- aeeb0657f72a95051cec9ed153ae7695595160a27bd9f6a79b9e3c1592f996b0
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