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sshleifer
/
dev-ft-en-ro

Transformers
PyTorch
mbart
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use sshleifer/dev-ft-en-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sshleifer/dev-ft-en-ro with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sshleifer/dev-ft-en-ro")
    model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/dev-ft-en-ro")
  • Notebooks
  • Google Colab
  • Kaggle
dev-ft-en-ro
8.99 GB
Ctrl+K
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History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b341b82 verified about 1 year ago
  • .gitattributes
    399 Bytes
    Adding `safetensors` variant of this model about 1 year ago
  • config.json
    1.16 kB
    Update config.json almost 6 years ago
  • model.safetensors
    4.49 GB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.49 GB
    xet
    Update pytorch_model.bin almost 6 years ago
  • sentencepiece.bpe.model
    5.07 MB
    Update sentencepiece.bpe.model almost 6 years ago
  • special_tokens_map.json
    406 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    26 Bytes
    Update tokenizer_config.json almost 6 years ago