Instructions to use gaudi/opus-mt-eo-cs-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-eo-cs-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-eo-cs-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-eo-cs-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e96262db1348bc11ea59d860d836733796d8cb88564121bdcbdda988d42c17d4
- Size of remote file:
- 96.4 MB
- SHA256:
- 2c497263878ec07b5599b58de3d1aaf15208d6c895c798b7b29c4080055a8245
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