Instructions to use madoss/nllb-dry-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madoss/nllb-dry-run with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("madoss/nllb-dry-run") model = AutoModelForSeq2SeqLM.from_pretrained("madoss/nllb-dry-run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2d82473452bb60606f22912554764673e06e275a8a88466a5e55a6b7997ca72
- Size of remote file:
- 32.2 MB
- SHA256:
- a033dad7cd9f5a295fff4a20fe14f7b2c6dc7152c670c79d07e502891d460fe7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.