Transformers
PyTorch
Safetensors
py
English
t5
text2text-generation
Code2TextGeneration
Code2TextSummarisation
text-generation-inference
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
stmnk commited on
Commit ·
c60b68d
1
Parent(s): 2a47ca7
Transfer learning train
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"_name_or_path": "stmnk/codet5-small-code-summarization-python",
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pytorch_model.bin
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