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hetpandya
/
t5-base-tapaco

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

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

  • Libraries
  • Transformers

    How to use hetpandya/t5-base-tapaco with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("hetpandya/t5-base-tapaco")
    model = AutoModelForSeq2SeqLM.from_pretrained("hetpandya/t5-base-tapaco")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-tapaco
1.79 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b0dd09d about 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    2.43 kB
    First commit almost 5 years ago
  • config.json
    1.39 kB
    First commit almost 5 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • model_args.json
    2.54 kB
    First commit almost 5 years ago
  • optimizer.pt
    2.14 MB
    xet
    First commit almost 5 years ago
  • pytorch_model.bin
    892 MB
    xet
    First commit almost 5 years ago
  • scheduler.pt
    623 Bytes
    xet
    First commit almost 5 years ago
  • special_tokens_map.json
    1.79 kB
    First commit almost 5 years ago
  • spiece.model
    792 kB
    xet
    First commit almost 5 years ago
  • tokenizer_config.json
    1.96 kB
    Update tokenizer_config.json almost 5 years ago
  • training_args.bin
    3.12 kB
    xet
    First commit almost 5 years ago