Instructions to use Helsinki-NLP/opus-mt-fr-kwy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-kwy 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-kwy")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-kwy") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-kwy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1b53ae3ac86d70f3c94c9bde1ebec7baf9b34b77db7f331ea61cad4f2f1f263
- Size of remote file:
- 303 MB
- SHA256:
- f8f32d6aa9e1d0f28519e0eae366d32cfe4049a0e58b842f31729ccf60118a97
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