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:
- 31d63eb517e82bf5128bac632a180683963730decabc6dd6d136030e667c5637
- Size of remote file:
- 74.9 MB
- SHA256:
- 0b8f9c0cb3862c64b9871c2b1c938e3ee663e267b148c60fc1a6975f038f16a0
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