Translation
Transformers
PyTorch
TensorFlow
JAX
Safetensors
French
English
marian
text2text-generation
Instructions to use Helsinki-NLP/opus-mt-fr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-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-fr-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-en") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cebce078fac8e873118a2aa2ced6dce6e4c34d9fe05328ebc3683d81ed086bc0
- Size of remote file:
- 301 MB
- SHA256:
- 599b819e3488f0fb888fef09511370ce4c0388b6f0f6beeb49a1f4b19043bebc
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