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:
- 721b4a08b276eb3f8a36ea816dcd882c6f7ca72e2c38d0b729ef944d45cf76c7
- Size of remote file:
- 6.26 kB
- SHA256:
- bfdefc21756320420dfe0d7daa720cca58fd4914904b25eb14a185a44e368f07
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