Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
bert
Intel
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/polite-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/polite-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/polite-guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/polite-guard") model = AutoModelForSequenceClassification.from_pretrained("Intel/polite-guard") - Transformers.js
How to use Intel/polite-guard with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Intel/polite-guard'); - Inference
- Notebooks
- Google Colab
- Kaggle
Add INT8 dynamically quantized ONNX model
Browse files
onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1da1b70a1c38db9d8b1a8139ad1817a01d28047e609ae8e97f85894613241cfe
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size 110300605
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