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JavierIA
/
es-en

Translation
Transformers
PyTorch
JAX
English
Spanish
marian
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use JavierIA/es-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JavierIA/es-en 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="JavierIA/es-en")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("JavierIA/es-en")
    model = AutoModelForSeq2SeqLM.from_pretrained("JavierIA/es-en")
  • Notebooks
  • Google Colab
  • Kaggle
es-en
625 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
JavierIA's picture
JavierIA
init
da99505 about 4 years ago
  • .gitattributes
    391 Bytes
    init about 4 years ago
  • README.md
    2.4 kB
    init about 4 years ago
  • config.json
    1.48 kB
    init about 4 years ago
  • flax_model.msgpack
    310 MB
    xet
    init about 4 years ago
  • metadata.json
    1.09 kB
    init about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    312 MB
    xet
    init about 4 years ago
  • source.spm
    802 kB
    init about 4 years ago
  • target.spm
    826 kB
    init about 4 years ago
  • tokenizer_config.json
    44 Bytes
    init about 4 years ago
  • vocab.json
    1.59 MB
    init about 4 years ago