Instructions to use Helsinki-NLP/opus-mt-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-fr 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-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-fr") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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Model Architecture
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TariqJamil
Update README.md
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Dibiddo
How do I run this model locally?
#6 opened about 2 years ago
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Winnougan
Adding `safetensors` variant of this model
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#5 opened over 2 years ago
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SFconvertbot
Update README.md
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Duy13123
Update README.md
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Duy13123
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
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SFconvertbot