Instructions to use Helsinki-NLP/opus-mt-toi-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-toi-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-toi-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-toi-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-toi-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0b0c66b27a4d5c375251258dd39490b7593a167181535d925cd0571e0549dd8
- Size of remote file:
- 306 MB
- SHA256:
- e2d999dcd943723f8b9af88f336188f72031c06928134f660e8b3edec5649026
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