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:
- f43b241857953b49e28cac6344758c4960fd63d3f2cb7ba494ef6fa53427649b
- Size of remote file:
- 14.2 kB
- SHA256:
- 10bd99dd9c2a28dfaaf877a3e1432bf1d107289765a73f54489bd3b59cb62d41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.