Instructions to use neuralsentry/vulnfixClassification-StarEncoder-DCMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralsentry/vulnfixClassification-StarEncoder-DCMB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralsentry/vulnfixClassification-StarEncoder-DCMB")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuralsentry/vulnfixClassification-StarEncoder-DCMB") model = AutoModelForSequenceClassification.from_pretrained("neuralsentry/vulnfixClassification-StarEncoder-DCMB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from neuralsentry/vulnfixClassification-StarEncoder-DCMB: direct link, hf CLI and curl.
- Browser
- Download file 497 MB
-
https://huggingface.co/neuralsentry/vulnfixClassification-StarEncoder-DCMB/resolve/4dd84c58ad4d879cb5434fa29363aaad4ddae216/pytorch_model.bin
- Command line
-
hf download hf://neuralsentry/vulnfixClassification-StarEncoder-DCMB@4dd84c58ad4d879cb5434fa29363aaad4ddae216/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/neuralsentry/vulnfixClassification-StarEncoder-DCMB/resolve/4dd84c58ad4d879cb5434fa29363aaad4ddae216/pytorch_model.bin
497 MB
- Xet hash:
- 5019a95154fe95b9f80c87c894dac60b5596c83330accf5f94f69aaaa3de4383
- Size of remote file:
- 497 MB
- SHA256:
- 2429c3efb693f3ab9cb7b068c12a68bba21b8200344c814f87c3616d68da3fc8
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