Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use neuralsentry/vulnfixClassification-DistilBERT-DCMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralsentry/vulnfixClassification-DistilBERT-DCMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralsentry/vulnfixClassification-DistilBERT-DCMB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuralsentry/vulnfixClassification-DistilBERT-DCMB") model = AutoModelForSequenceClassification.from_pretrained("neuralsentry/vulnfixClassification-DistilBERT-DCMB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77ade724775299da144a0eeeba3fb72643ab0636dfd3a4ef1b56858b67fa5307
- Size of remote file:
- 268 MB
- SHA256:
- f8d7d8a448bdc399d8c8c4694b4048100e75695960a19b0fcd4f193c05059a3a
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