Instructions to use Helsinki-NLP/opus-mt-en-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-inc 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-en-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-inc") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e43bb73e3afc7f689770ef71bc65cef76303155e27a9d17f44621cbc019ac22
- Size of remote file:
- 305 MB
- SHA256:
- e0a48e46ce289f39a838ba5e6e4b9df63375cc11008c9d866ac46a53fad333ce
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