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:
- f100b6ee3f7dc31769ceacdf8e1d1d86093f822ef452413fe855f12ba1c25829
- Size of remote file:
- 122 MB
- SHA256:
- bf535e37f268878a4f747a0d8f39904700364c4ff23f777180a4757c4ba6a461
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.