Instructions to use gaudi/opus-mt-fi-tpi-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-fi-tpi-ctranslate2 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="gaudi/opus-mt-fi-tpi-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-fi-tpi-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ebf81601c964c26afd2eae71b2990d9fee889e2003b8856abfa177cdd46683f
- Size of remote file:
- 144 MB
- SHA256:
- 2e9211bbf8fa1c9ba13fd88fd9751e563f05b401a86de6e63157a897a20e8b83
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