Text Classification
Transformers
Safetensors
English
roberta
test-smells
multi-label-classification
software-quality
qa
text-embeddings-inference
Instructions to use lukassokcevic/test-smell-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukassokcevic/test-smell-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukassokcevic/test-smell-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukassokcevic/test-smell-classifier") model = AutoModelForSequenceClassification.from_pretrained("lukassokcevic/test-smell-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e94c392fb94cc4b04a81a71ef601d369d61bc0076b470b972e86f7cd88b68dd
- Size of remote file:
- 5.3 kB
- SHA256:
- 0621195acf04305202644c5a01697a52143bf4c6e1ba3aafe3088ace58312470
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