Instructions to use devanshty/Babel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devanshty/Babel with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-large-v3") model = PeftModel.from_pretrained(base_model, "devanshty/Babel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f96e2d6365df4af67c165938cdbe4b3fa1a9c68ea6160bc5ae57f799e7d9ada
- Size of remote file:
- 231 MB
- SHA256:
- 3f293f87467c710625d250fe76530ff76c226fe44553f841faa0e4188e91531d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.