Instructions to use WindyWord/translate-mos-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-mos-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mos-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55244c63ce7518ce6d8272175e9c910135c0618bfce1a2c448f1e2263cc81ab3
- Size of remote file:
- 70.2 MB
- SHA256:
- c84972c3962073ddb2bff521c9a40729092e0d25fd016528cdc9241999e0b744
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