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:
- 1a48813aca02e8aa2defd95d8d3cc2fb7e56fcdcf2b6c0a319244debc798e9c8
- Size of remote file:
- 74.3 MB
- SHA256:
- 0d851975051fd8f2e8b3785eddf5573ac9bcaf54fce16110e76299aa65471396
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