Text Classification
Transformers
Safetensors
English
distilbert
cybersecurity
psychology
classification
social-engineering
synthetic-data
human-factors
security
text-embeddings-inference
Instructions to use CPF3-org/cpf-poc-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CPF3-org/cpf-poc-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CPF3-org/cpf-poc-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CPF3-org/cpf-poc-model") model = AutoModelForSequenceClassification.from_pretrained("CPF3-org/cpf-poc-model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K