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facebook
/
mbart-large-cc25

Translation
Transformers
PyTorch
google-tensorflow TensorFlow
mbart
text2text-generation
Model card Files Files and versions
xet
Community
6

Instructions to use facebook/mbart-large-cc25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/mbart-large-cc25 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="facebook/mbart-large-cc25")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-cc25")
    model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-cc25")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding ONNX file of this model

#6 opened about 2 years ago by
optowo

Adds missing tokenizer configuration file

#5 opened about 2 years ago by
lysandre

[AUTOMATED] Model Memory Requirements

#4 opened over 2 years ago by
model-sizer-bot

Adding `safetensors` variant of this model

#3 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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