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
| license: apache-2.0 | |
| language: | |
| - code | |
| - en | |
| datasets: | |
| - saridormi/commit-message-quality | |
| tags: | |
| - code | |
| - commit_message_generation | |
| widget: | |
| - text: "Fix README" | |
| - text: "Add backoff on exceptions from OpenAI API & make pip requirements up-to-date" | |
| # Commit Message Quality Classifier | |
| This is the checkpoint for [CodeBERT](https://huggingface.co/microsoft/codebert-base) model, fine-tuned for the commit message quality classification. It was used during processing of the [Commit Message Generation dataset](https://huggingface.co/datasets/JetBrains-Research/lca-commit-message-generation) from | |
| ๐๏ธ [Long Code Arena benchmark](https://huggingface.co/spaces/JetBrains-Research/long-code-arena). | |
| ๐ For further details, please refer to: | |
| * **Repository**: TODO |