Text Classification
Transformers
PyTorch
Safetensors
code
English
roberta
commit_message_generation
text-embeddings-inference
Instructions to use saridormi/commit-message-quality-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saridormi/commit-message-quality-codebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saridormi/commit-message-quality-codebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saridormi/commit-message-quality-codebert") model = AutoModelForSequenceClassification.from_pretrained("saridormi/commit-message-quality-codebert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb1fa349ab97c54ed360597a025780510ccac609e5ed3847c07f69e156bc9b18
- Size of remote file:
- 499 MB
- SHA256:
- 6c16ea8bc1865a8dbf79718fc7beaceddbc8de270b5d4e5f967daaeb446cf38e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.