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

  • Log In
  • Sign Up

stmnk
/
codet5-small-code-summarization-python

Transformers
PyTorch
Safetensors
py
English
t5
text2text-generation
Code2TextGeneration
Code2TextSummarisation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use stmnk/codet5-small-code-summarization-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use stmnk/codet5-small-code-summarization-python with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("stmnk/codet5-small-code-summarization-python")
    model = AutoModelForSeq2SeqLM.from_pretrained("stmnk/codet5-small-code-summarization-python")
  • Notebooks
  • Google Colab
  • Kaggle
codet5-small-code-summarization-python
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
system's picture
system HF Staff
initial commit
350648e over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago