Instructions to use allenai/wmt16-en-de-dist-12-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/wmt16-en-de-dist-12-1 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="allenai/wmt16-en-de-dist-12-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/wmt16-en-de-dist-12-1") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/wmt16-en-de-dist-12-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d710afc27961289c8e97922c58a04a85350699cb940f95e774b1d1c9de88ef3
- Size of remote file:
- 235 MB
- SHA256:
- 3bf4d897832c5a8e1d9272368c451c180595694c2e9e66768987eb9f8c5c991e
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