Instructions to use havinash-ai/da374450-2c85-45b2-a0ba-8591aace8c97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/da374450-2c85-45b2-a0ba-8591aace8c97 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "havinash-ai/da374450-2c85-45b2-a0ba-8591aace8c97") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b3100ba4b4310282c25d91ed5dfc28c1d4afd166d66f978c61811572046a3ea
- Size of remote file:
- 84 MB
- SHA256:
- 4f38dd081f8c3fe62a8e69e0e73de18885f276b7d76d60a4c3f514edd7e0df6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.