Instructions to use BenjaminTT/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BenjaminTT/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "BenjaminTT/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2408725ae0d1ddeee5ac559a10ffdd5744f6e159bfffdc28b2c11156853fd91d
- Size of remote file:
- 4.92 kB
- SHA256:
- 9e13eb4b587b8cacf51e9a400939145645f3508847e1e08ca47a7a845e5f60fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.