Instructions to use WindstormLabs/translate-mos-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mos-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-mos-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mos-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48bdf69daf2845ebc651a99403f215e6d14bc8f6d15d747af2a6b6d97be04544
- Size of remote file:
- 584 kB
- SHA256:
- 342839aaff373f4c57cd6b3addd6f18a7f4611c3a80cae7f59508024a3e27e74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.