Instructions to use WindstormLabs/translate-mt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mt-en 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-mt-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mt-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4014343f0cea2ed9a556bb73d8d082820b08516ad31ff19070d6851b750781c
- Size of remote file:
- 789 kB
- SHA256:
- be66673da0bd5c7ece881b14d8aa7067d564f967ba1db205a589c69ba8c4ce71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.