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Tritkoman
/
EnglishtoRusynV2

Translation
Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
mt5
text2text-generation
Trained with AutoTrain
Model card Files Files and versions
xet
Community
1

Instructions to use Tritkoman/EnglishtoRusynV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tritkoman/EnglishtoRusynV2 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="Tritkoman/EnglishtoRusynV2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Tritkoman/EnglishtoRusynV2")
    model = AutoModelForSeq2SeqLM.from_pretrained("Tritkoman/EnglishtoRusynV2")
  • Notebooks
  • Google Colab
  • Kaggle
EnglishtoRusynV2
4.94 GB
Ctrl+K
Ctrl+K
History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
91f4f13 over 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    353 Bytes
    Commit From AutoTrain over 3 years ago
  • config.json
    841 Bytes
    Commit From AutoTrain over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.92 GB
    xet
    Commit From AutoTrain over 3 years ago
  • special_tokens_map.json
    74 Bytes
    Commit From AutoTrain over 3 years ago
  • spiece.model
    4.31 MB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer.json
    16.3 MB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer_config.json
    478 Bytes
    Commit From AutoTrain over 3 years ago