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fvossel
/
t5-base-groves

Translation
Transformers
Safetensors
English
t5
text2text-generation
NLTOFOL
NL
FOL
semantic-parsing
first-order-logic
formal-logic
compositional-generalization
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use fvossel/t5-base-groves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fvossel/t5-base-groves 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="fvossel/t5-base-groves")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("fvossel/t5-base-groves")
    model = AutoModelForSeq2SeqLM.from_pretrained("fvossel/t5-base-groves")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-groves
894 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
fvossel's picture
fvossel
Update README.md
6ab202c verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    4.63 kB
    Update README.md 21 days ago
  • config.json
    1.56 kB
    Initial model upload 21 days ago
  • generation_config.json
    141 Bytes
    Initial model upload 21 days ago
  • model.safetensors
    892 MB
    xet
    Initial model upload 21 days ago
  • tokenizer.json
    2.11 MB
    Initial model upload 21 days ago
  • tokenizer_config.json
    2.36 kB
    Initial model upload 21 days ago