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:
- 225edc42499f6db244f2489d67a1588f3134ab12190566c35cf15c532a101248
- Size of remote file:
- 162 MB
- SHA256:
- 37fa90d6700583075f96e013c8b04cf2d9cb30f551ebc630918ac1c0451051cd
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