Instructions to use NotoriousH2/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NotoriousH2/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("upstage/SOLAR-10.7B-v1.0") model = PeftModel.from_pretrained(base_model, "NotoriousH2/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 551f0051ff17420325df472363ac33dce4440310c8e7984ab3cb4a8e1128075f
- Size of remote file:
- 4.66 kB
- SHA256:
- 01feefb0db9ce6eac49ccb0845e04d9503e5977a0b8e85a998fa4c9671e90e5a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.