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:
- 1e426827308738f98a15d38e17f5d38ca8546c21899a3eea3c087d9caa2f505f
- Size of remote file:
- 302 MB
- SHA256:
- 193e0ca7af3ee45098a998176eba20d63e96dedff6d3d751893908cb5218855e
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