Instructions to use Helsinki-NLP/opus-mt-mt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-mt-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-mt-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-mt-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-mt-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca31fccb776b66915d3fd9085e4d8b491695aa4fe055ac135930c29becaa7a17
- Size of remote file:
- 292 MB
- SHA256:
- c40a878979df5bc2f14cefbd401280c991ac2ba189b7ec7eb636349fb57df068
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