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", device_map="auto") - 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
Download polite-guard-hyperparameter-importance.png from Intel/polite-guard: direct link, hf CLI and curl.
- Browser
- Download file 21.2 kB
-
https://huggingface.co/Intel/polite-guard/resolve/main/polite-guard-hyperparameter-importance.png
- Command line
-
hf download hf://Intel/polite-guard/polite-guard-hyperparameter-importance.png
-
curl -L -o polite-guard-hyperparameter-importance.png https://huggingface.co/Intel/polite-guard/resolve/main/polite-guard-hyperparameter-importance.png
21.2 kB
