Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-pangolin-random_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-pangolin-random_10k-seed42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-pangolin-random_10k-seed42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- fc1c2e8e6eccb1421e0db4328c2cbbf0a3642795a789e894195c7fc637e06a8f
- Size of remote file:
- 162 MB
- SHA256:
- a85d7f0bac26a3c4cac1130eacaa627b9225e43a0ea06fe6aeda2c2ba596fee8
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