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:
- 23af12bdfef58c0ffce78f126a85672336d2896411a4778ff981f0990fe32e14
- Size of remote file:
- 301 MB
- SHA256:
- 629c757bf43cd28d01248569d5aa3245614dd22468df424c607feb45d13c9848
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