Instructions to use Helsinki-NLP/opus-mt-de-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-tl 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-de-tl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-tl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-tl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e1fd3e3398764684d1dbd11aa30f667f59b85d7737f31325ce634986ebe6f2e
- Size of remote file:
- 303 MB
- SHA256:
- 4a7bfdd5473bc068d813052479650a5541b669edb1aa9efa73a316828736be27
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