Instructions to use Helsinki-NLP/opus-mt-rnd-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-rnd-en 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-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-rnd-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-rnd-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8aef68028022b48d2552e665eef1d2152fb3af0a9fbc3dce4171b00fabd01df
- Size of remote file:
- 290 MB
- SHA256:
- fb40d7417e08a437c994bb48cab1e89242ea227e864fba8816ac69794b3cd19f
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