Instructions to use Neha13/Gujarati_Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neha13/Gujarati_Translation with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Neha13/Gujarati_Translation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b8a7f15d3090a06bc0241de6c2bcc1b60b7715347460fcf8ad8a6012ea9e58
- Size of remote file:
- 3.26 MB
- SHA256:
- ac9257c8e76b8b607705b959cc3d075656ea33032f7a974e467b8941df6e98d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.