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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from neuralsentry/vulnfixClassification-DistilBERT-DCMB: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/neuralsentry/vulnfixClassification-DistilBERT-DCMB/resolve/4fa7c853506afd42476c47a8b73af38ef922cd5c/pytorch_model.bin
- Command line
-
hf download hf://neuralsentry/vulnfixClassification-DistilBERT-DCMB@4fa7c853506afd42476c47a8b73af38ef922cd5c/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/neuralsentry/vulnfixClassification-DistilBERT-DCMB/resolve/4fa7c853506afd42476c47a8b73af38ef922cd5c/pytorch_model.bin
268 MB
- Xet hash:
- cf0c0c566c43513c37672073662658e703d6d84228c12de1eb1c458b4f39ae61
- Size of remote file:
- 268 MB
- SHA256:
- 85a7afe141127ea1756cee656d8fd9bc56526cc993505e3b6fcae6fb34dc1930
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