Instructions to use dev-analyzer/commit-message-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dev-analyzer/commit-message-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dev-analyzer/commit-message-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dev-analyzer/commit-message-model") model = AutoModelForSequenceClassification.from_pretrained("dev-analyzer/commit-message-model") - Notebooks
- Google Colab
- Kaggle
Create dataset (#5)
Browse files- Create dataset (7abcb2deb5714e048419c4af8ae8c18968d0ac2e)
Co-authored-by: Emma Pesjak <EmmaPesjak@users.noreply.huggingface.co>
dataset
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|