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zbambergerNLP
/
hf_t5

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

Instructions to use zbambergerNLP/hf_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zbambergerNLP/hf_t5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("zbambergerNLP/hf_t5")
    model = AutoModelForSeq2SeqLM.from_pretrained("zbambergerNLP/hf_t5")
  • Notebooks
  • Google Colab
  • Kaggle
hf_t5
990 MB
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  • 1 contributor
History: 8 commits
zbambergerNLP's picture
zbambergerNLP
Upload T5ForConditionalGeneration
7861852 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload T5ForConditionalGeneration about 2 years ago
  • config.json
    911 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration about 2 years ago
  • model.safetensors
    990 MB
    xet
    Upload T5ForConditionalGeneration about 2 years ago