Instructions to use Helsinki-NLP/opus-mt-hil-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-hil-en 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="Helsinki-NLP/opus-mt-hil-en")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-hil-en") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-hil-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce5c021e77ba52039de7d61960c45bce235d3f97bc8873aab953ecd40f048b55
- Size of remote file:
- 294 MB
- SHA256:
- df57182a038af84d8b0571d34acfac5f79ca10226d42d27cae4f8480613b4bed
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