Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
cybersecurity
text-embeddings-inference
Instructions to use conflick0/vuln-cat-secbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conflick0/vuln-cat-secbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conflick0/vuln-cat-secbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conflick0/vuln-cat-secbert") model = AutoModelForSequenceClassification.from_pretrained("conflick0/vuln-cat-secbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b969c64ba2c011a57b3168ede00580724899014f2467988fc9cd4daab5ea353
- Size of remote file:
- 4.92 kB
- SHA256:
- 81ccc6d9e99b6b042ffeffbcb72919d8e2051b34b699438936ba20c725e82382
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