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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("modelling101/CodeBERT-SO") model = AutoModelForSequenceClassification.from_pretrained("modelling101/CodeBERT-SO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturee1acfdf -
Update README.md
Verified signature3e38b87 -
Update README.md
Verified signature4bc8d62 -
Update README.md
Verified signature66c229a
-
Add RoBERTa tokenizer
Verified signature015fdae -
Upload model.safetensors and config.json
Verified signaturea75656d -
Update README.md
Verified signature06a164b -
Upload model.pt
Verified signature3552e06 -
initial commit
Verified signature7a5efda