Instructions to use Helsinki-NLP/opus-mt-rnd-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-rnd-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-rnd-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-rnd-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-rnd-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39df9ecd925f3a58fefd3237bbfa9edc20ab7416bfbc9994e6ca43e5eac13230
- Size of remote file:
- 302 MB
- SHA256:
- fe846c4a0fd36eb21d09c84a3830c5be4ca206223cd56889c70ce60957dd5da2
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