Text Classification
Transformers
Safetensors
English
distilbert
prompt-injection
security
cybersecurity
llm-security
ml-intern
text-embeddings-inference
Instructions to use av-codes/pi-detector-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use av-codes/pi-detector-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="av-codes/pi-detector-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("av-codes/pi-detector-distilbert") model = AutoModelForSequenceClassification.from_pretrained("av-codes/pi-detector-distilbert") - Notebooks
- Google Colab
- Kaggle
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| "best_model_checkpoint": "./pi-detector/checkpoint-99", | |
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| "eval_steps": 500, | |
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| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
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