Instructions to use sergioalves/31beeb47-871d-418d-a537-b403877d3531 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/31beeb47-871d-418d-a537-b403877d3531 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, "sergioalves/31beeb47-871d-418d-a537-b403877d3531") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec7a2c199c4610ece417a37f8798d646552c634e0d4ce6c3218d3d547677bdd7
- Size of remote file:
- 6.78 kB
- SHA256:
- 605bfa0e14917d10c9341f1aee3a1260b6ab3baf9a9787bb7387524598582558
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.