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:
- 896edf6084647104db87eb62b3e6f136be03cf8b40ccb78f4dd84bcbc251eddb
- Size of remote file:
- 499 MB
- SHA256:
- 9e70d540905a9960dff282a04afe1d461d7d1c5a7d041d3ab53ccb8fb02a5801
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