Instructions to use aieng-lab/codebert-base_bug-issue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_bug-issue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_bug-issue")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_bug-issue") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_bug-issue") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07d2893b7d87f45288c5eb81f8beb63193b3ce9b39fba19bde168852bcff47a6
- Size of remote file:
- 249 MB
- SHA256:
- 306f102ede8bf36336db26198b9130ac1cdd2b418cc8574c452290e28e33ffd2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.