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alfonsusrr
/
BugBERTa-C

Text Classification
Transformers
Safetensors
English
roberta
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="alfonsusrr/BugBERTa-C")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("alfonsusrr/BugBERTa-C")
model = AutoModelForSequenceClassification.from_pretrained("alfonsusrr/BugBERTa-C")
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This model is trained on base model microsoft/codebert-base added with classification head and trained with DebugBench dataset for bug classification purpose.

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Model size
0.1B params
Tensor type
F32
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Dataset used to train alfonsusrr/BugBERTa-C