Instructions to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/dcf5609c-e90f-4841-accf-f0bfedf4a73c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70e75abd66d298b99a17f1d6a3646e26084c297d858e16a978cf660fd0e69998
- Size of remote file:
- 84 MB
- SHA256:
- cc34a005b6d321f86a850042f91e786509c7139cf5b6d22876103d093bc39e66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.