Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
electra
prompt-injection
jailbreak-detection
security
Instructions to use yzdvai/tiny-injection-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yzdvai/tiny-injection-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yzdvai/tiny-injection-guard")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yzdvai/tiny-injection-guard") model = AutoModelForSequenceClassification.from_pretrained("yzdvai/tiny-injection-guard", device_map="auto") - Transformers.js
How to use yzdvai/tiny-injection-guard with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'yzdvai/tiny-injection-guard'); - Notebooks
- Google Colab
- Kaggle
Commit History
7 days ago
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Write the model card: Apache-2.0 licence, usage, training data, full evaluation
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Add int8 ONNX export that also returns attentions and hidden states (used by the architecture page)
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Add ONNX export (fp32 and dynamic int8) for transformers.js
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Upload results_summary.json with huggingface_hub
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Upload tokenizer
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Upload ElectraForSequenceClassification
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initial commit
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