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leukas
/
byt5-large-wmt14-deen

Translation
Transformers
PyTorch
Safetensors
German
English
t5
text2text-generation
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use leukas/byt5-large-wmt14-deen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leukas/byt5-large-wmt14-deen 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="leukas/byt5-large-wmt14-deen")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("leukas/byt5-large-wmt14-deen")
    model = AutoModelForMultimodalLM.from_pretrained("leukas/byt5-large-wmt14-deen")
  • Notebooks
  • Google Colab
  • Kaggle
byt5-large-wmt14-deen
4.91 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 3 commits
leukas's picture
leukas
Upload tokenizer
ea58635 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    845 Bytes
    Upload T5ForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    4.91 GB
    xet
    Upload T5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    3.09 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    3.33 kB
    Upload tokenizer about 3 years ago