Instructions to use WindyWord/translate-mh-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mh-fi 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-mh-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mh-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 761b5bb137cd45701aea8d1573ecffcb5fd12a7c73fda7fc8a70a97ddaa24288
- Size of remote file:
- 674 kB
- SHA256:
- 48c2976cd329e35129eb8acf3340a6d85ac6d50d398fbdbdb22ddd2b6f43c431
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