Instructions to use WindstormLabs/translate-en-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ro with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-en-ro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa69435a54f42b98d0f408d505055df573aa0d7b682947a630edba1907d5cad8
- Size of remote file:
- 76.7 MB
- SHA256:
- ed990b9d492845d191f7297d6e045398e6c23e79b55336dbd738bf4be76bf872
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.