Instructions to use mamiksik/T5-commit-message-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamiksik/T5-commit-message-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mamiksik/T5-commit-message-generation") model = AutoModelForSeq2SeqLM.from_pretrained("mamiksik/T5-commit-message-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35375ca6138c9dae484e2be2b11d4a3870101c5db380592d346ab9af1fcaf65
- Size of remote file:
- 892 MB
- SHA256:
- cc05103945349a11cab90066e885eba9b2829ab5b8baaafd6be3ee18cd885b2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.