Instructions to use Helsinki-NLP/opus-mt-dra-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-dra-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-dra-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-dra-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-dra-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad46225117a808339b1bd7fb680de5e42b418e23467230afa74e42cae87d3d74
- Size of remote file:
- 308 MB
- SHA256:
- 114ff25d16ff5f3c691d5e8961a5a2f747bca6db444d7c78ededed7887d9d898
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