Text Classification
Transformers
Safetensors
deberta-v2
deberta-v3
deberta
text-embeddings-inference
Instructions to use hbseong/HarmAug-Guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hbseong/HarmAug-Guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hbseong/HarmAug-Guard")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hbseong/HarmAug-Guard") model = AutoModelForSequenceClassification.from_pretrained("hbseong/HarmAug-Guard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hbseong/HarmAug-Guard: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/hbseong/HarmAug-Guard/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://hbseong/HarmAug-Guard@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hbseong/HarmAug-Guard/resolve/refs%2Fpr%2F2/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.