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pere
/
multi-sentencefix-mt5-large

Translation
Transformers
PyTorch
JAX
Norwegian
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use pere/multi-sentencefix-mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pere/multi-sentencefix-mt5-large 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="pere/multi-sentencefix-mt5-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("pere/multi-sentencefix-mt5-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("pere/multi-sentencefix-mt5-large")
  • Notebooks
  • Google Colab
  • Kaggle
multi-sentencefix-mt5-large
9.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
pere's picture
pere
test
150fbd5 almost 4 years ago
  • .gitattributes
    1.34 kB
    attributes almost 4 years ago
  • README.md
    2.2 kB
    Update README.md about 4 years ago
  • config.json
    865 Bytes
    test almost 4 years ago
  • flax_model.msgpack
    4.92 GB
    xet
    after fix about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.92 GB
    xet
    after fix about 4 years ago
  • special_tokens_map.json
    65 Bytes
    xet
    test about 4 years ago
  • spiece.model
    4.31 MB
    xet
    test about 4 years ago
  • tokenizer.json
    16.3 MB
    xet
    test about 4 years ago
  • tokenizer_config.json
    409 Bytes
    xet
    test about 4 years ago