Instructions to use entity2260/opus_en_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_de 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="entity2260/opus_en_de")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from entity2260/opus_en_de: direct link, hf CLI and curl.
- Browser
- Download file 296 MB
-
https://huggingface.co/entity2260/opus_en_de/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://entity2260/opus_en_de/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/entity2260/opus_en_de/resolve/main/flax_model.msgpack
296 MB
- Xet hash:
- d2ba3153f8eea54199b435e118859e7c5cc20b5b26c2782a5404439c65e22db1
- Size of remote file:
- 296 MB
- SHA256:
- 1fcf707093bb204211b4e7f8b487896fc65623fd290565992b2105f759539520
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