Instructions to use prxy5608/3dc641c7-466d-4d2e-9f84-237f66cc4725 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/3dc641c7-466d-4d2e-9f84-237f66cc4725 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TitanML/tiny-mixtral") model = PeftModel.from_pretrained(base_model, "prxy5608/3dc641c7-466d-4d2e-9f84-237f66cc4725") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb529eb9e9b30f82601c1179162a4cb358ef9857c91344813b9b3e2c4b375101
- Size of remote file:
- 60.6 MB
- SHA256:
- 47a90a3a12a4f6cadf69a4e79ebb3d42b0f35a28a257fc7d2ab8993ef1b0f9e5
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