Instructions to use sshleifer/dev-ft-en-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/dev-ft-en-ro with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/dev-ft-en-ro") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/dev-ft-en-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 291a478a91001a2382a1cfe61d7fbb817ec771f8327ee816dbada9eeb28531ea
- Size of remote file:
- 4.49 GB
- SHA256:
- ba2d3aaef0d349bd68e72ca0881e5969b73ba5af0edd41215aabd5a54c3f6926
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.