Instructions to use aieng-lab/codebert-base_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ba6bbb6e9143dfe4d48292ca5844b7d2463221367410244c4c0f21575523d71
- Size of remote file:
- 249 MB
- SHA256:
- 7c1371b6b60253da54d44320f3c7fa7285b523afa5eef5defd755382b6fad002
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.