Instructions to use gaudi/opus-mt-cel-en-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-cel-en-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-cel-en-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-cel-en-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from gaudi/opus-mt-cel-en-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 806 kB
-
https://huggingface.co/gaudi/opus-mt-cel-en-ctranslate2/resolve/main/source.spm
- Command line
-
hf download hf://gaudi/opus-mt-cel-en-ctranslate2/source.spm
-
curl -L -o source.spm https://huggingface.co/gaudi/opus-mt-cel-en-ctranslate2/resolve/main/source.spm
806 kB
- Xet hash:
- b895a7e2fc2065c58f4387d9c013a4b1776f0543b5079f592313d1032f22752f
- Size of remote file:
- 806 kB
- SHA256:
- 478def562877e8664b0f4e28f183bbac163d319f0533364858b92e4cf13b636b
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