Instructions to use Helsinki-NLP/opus-mt-de-bi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-de-bi 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-bi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-bi") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-bi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Helsinki-NLP/opus-mt-de-bi: direct link, hf CLI and curl.
- Browser
- Download file 294 MB
-
https://huggingface.co/Helsinki-NLP/opus-mt-de-bi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-de-bi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Helsinki-NLP/opus-mt-de-bi/resolve/main/pytorch_model.bin
294 MB
- Xet hash:
- d49bedeb129ac93c5a134d325a2802fd5cb4620faae4e09073fe8c47bd6cf17c
- Size of remote file:
- 294 MB
- SHA256:
- 9cc9a8478f5f4873779bb83332771a6497e0659b39d765e9e7b6df2a0d943cc1
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