Text Classification
Transformers
ONNX
Safetensors
English
bert
prompt-injection
security
llm-security
edge-inference
fastly
tract-onnx
text-embeddings-inference
Instructions to use marklkelly/bert-tiny-injection-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marklkelly/bert-tiny-injection-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marklkelly/bert-tiny-injection-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marklkelly/bert-tiny-injection-detector") model = AutoModelForSequenceClassification.from_pretrained("marklkelly/bert-tiny-injection-detector") - Notebooks
- Google Colab
- Kaggle
| bert-tiny-injection-detector | |
| Copyright 2026 | |
| This product incorporates the following third-party components: | |
| -------------------------------------------------------------------------------- | |
| prajjwal1/bert-tiny | |
| Copyright (c) Prajjwal Bhargava | |
| MIT License | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
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| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
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| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
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| SOFTWARE. | |
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