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divers
/
AE-t5-small

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use divers/AE-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use divers/AE-t5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("divers/AE-t5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("divers/AE-t5-small")
  • Notebooks
  • Google Colab
  • Kaggle
AE-t5-small
244 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tntchack's picture
tntchack
Upload tokenizer
eb0b2db about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.5 kB
    Upload T5ForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    242 MB
    xet
    Upload T5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    2.32 kB
    Upload tokenizer about 3 years ago