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google
/
t5-efficient-base-nh32

Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use google/t5-efficient-base-nh32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/t5-efficient-base-nh32 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-base-nh32")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-base-nh32")
  • Notebooks
  • Google Colab
  • Kaggle
t5-efficient-base-nh32
4.38 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
joaogante's picture
joaogante
Adding generation config file(s)
6395dfe over 3 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    6.35 kB
    Upload README.md about 4 years ago
  • config.json
    636 Bytes
    Upload checkpoint in Flax and TF about 4 years ago
  • flax_model.msgpack
    1.46 GB
    xet
    Upload checkpoint in Flax and TF about 4 years ago
  • generation_config.json
    147 Bytes
    Adding generation config file(s) over 3 years ago
  • operative_config.gin
    15.3 kB
    Add config over 4 years ago
  • pytorch_model.bin
    1.46 GB
    xet
    add PyTorch model and README about 4 years ago
  • special_tokens_map.json
    1.79 kB
    add PyTorch model and README about 4 years ago
  • spiece.model
    792 kB
    xet
    add PyTorch model and README about 4 years ago
  • tf_model.h5
    1.46 GB
    xet
    Upload checkpoint in Flax and TF about 4 years ago
  • tokenizer.json
    1.39 MB
    Upload checkpoint in Flax and TF about 4 years ago
  • tokenizer_config.json
    1.98 kB
    Upload checkpoint in Flax and TF about 4 years ago