Instructions to use gaudi/opus-mt-cpp-cpp-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-cpp-cpp-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-cpp-cpp-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-cpp-cpp-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a0a3971543af8dc854864fbb344c7dc016248e1107d95de2c3d70c871630657
- Size of remote file:
- 122 MB
- SHA256:
- 12ece37261c0d7225ad90cc357a7bde608c4fdd77015774a8ab4bb417a0d32db
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