Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
cybersecurity
text-embeddings-inference
Instructions to use conflick0/vuln-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conflick0/vuln-cat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conflick0/vuln-cat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conflick0/vuln-cat") model = AutoModelForSequenceClassification.from_pretrained("conflick0/vuln-cat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d81fa880ed367388712a0902a3f0706f1b2e5ae5fe4ced06931370712a8d436
- Size of remote file:
- 4.92 kB
- SHA256:
- b06ce88023e3be5f3a7f405adcdae1e370ff3aada4638bb3cc90be590ce9522d
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