Text Classification
Transformers
Safetensors
English
roberta
code
classification
BERT
Python
Java
JavaScript
text-embeddings-inference
Instructions to use LavishKK/graphcodebert-slowcode-detector-unbalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LavishKK/graphcodebert-slowcode-detector-unbalanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LavishKK/graphcodebert-slowcode-detector-unbalanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LavishKK/graphcodebert-slowcode-detector-unbalanced") model = AutoModelForSequenceClassification.from_pretrained("LavishKK/graphcodebert-slowcode-detector-unbalanced") - Notebooks
- Google Colab
- Kaggle
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