Instructions to use WindstormLabs/translate-mr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mr-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-mr-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mr-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4acd9e382219cee41c370bef5fbba99b99903c604fcd03a0be92d9be23982132
- Size of remote file:
- 1.17 MB
- SHA256:
- ea7785ea471df76f2cb4fc43c2d78950d7fb57c4a5b202024dbf51a0dcc01f65
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