Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

pedrogarcias
/
t5sql

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

Instructions to use pedrogarcias/t5sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pedrogarcias/t5sql with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("pedrogarcias/t5sql")
    model = AutoModelForSeq2SeqLM.from_pretrained("pedrogarcias/t5sql")
  • Notebooks
  • Google Colab
  • Kaggle
t5sql
895 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
pedrogarcias's picture
pedrogarcias
Upload T5ForConditionalGeneration
b969994 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    762 Bytes
    Upload T5ForConditionalGeneration over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload T5ForConditionalGeneration over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer over 3 years ago
  • spiece.model
    756 kB
    xet
    Upload tokenizer over 3 years ago
  • tokenizer.json
    2.39 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    2.43 kB
    Upload tokenizer over 3 years ago