Instructions to use modelling101/CodeBERT-SO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modelling101/CodeBERT-SO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="modelling101/CodeBERT-SO")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("modelling101/CodeBERT-SO") model = AutoModelForSequenceClassification.from_pretrained("modelling101/CodeBERT-SO") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 216b5d21d7f8079bea7bb89cc177a4a4dd9505d9eaa093cbd7e4a05a4fa988ad
- Size of remote file:
- 499 MB
- SHA256:
- 2bf6e3501fdf695c59b03e21786150b9a445eac16e28f5b0f1c1548b3ac4d1fc
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