Instructions to use Helsinki-NLP/opus-mt-fr-rnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-fr-rnd 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-rnd")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-rnd") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-rnd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2733226c925240e135b1985148a065bf60a8f8905ffe42786b20f899ff0bf8b
- Size of remote file:
- 301 MB
- SHA256:
- a9b7192d370247cc8f416313a6984c72d9f6c57a2b72bfb79090c39ea333e25e
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