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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
set `renormalize_logits=True` for better performance (see `transformers` issue #4290) b4a9a38
Adding generation config file(s) 49463f1
Add TF weights 4d3bd9d
Joao Gante commited on