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:
- bedd2c8309cb7c0294b4c04746847c23dc61a936db9c340fcda50645bbcf1100
- Size of remote file:
- 289 MB
- SHA256:
- d9404bb99546ca1e52c40c5817d5b11bf52ec336b7c86b810e52c5c32e2f9051
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