Instructions to use Rzoro/Transformer_de_en_multi30K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/Transformer_de_en_multi30K 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="Rzoro/Transformer_de_en_multi30K")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rzoro/Transformer_de_en_multi30K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/__pycache__/decoder.cpython-310.pyc from Rzoro/Transformer_de_en_multi30K: direct link, hf CLI and curl.
- Browser
- Download file 3.65 kB
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https://huggingface.co/Rzoro/Transformer_de_en_multi30K/resolve/main/model/__pycache__/decoder.cpython-310.pyc
- Command line
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hf download hf://Rzoro/Transformer_de_en_multi30K/model/__pycache__/decoder.cpython-310.pyc
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curl -L -o decoder.cpython-310.pyc https://huggingface.co/Rzoro/Transformer_de_en_multi30K/resolve/main/model/__pycache__/decoder.cpython-310.pyc
3.65 kB
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