Instructions to use souging/e9be041a-7f1b-4a2e-bae1-b0f5f0f836ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/e9be041a-7f1b-4a2e-bae1-b0f5f0f836ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "souging/e9be041a-7f1b-4a2e-bae1-b0f5f0f836ac") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7490d71d759ad21de1b5767203f411e683f44689dcfb9cc746283cf79b69884a
- Size of remote file:
- 336 MB
- SHA256:
- ca9a82ab4184339117b5fce3256884fa4f53aa0be4f6414649bc255034848a45
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