Text Classification
Transformers
Safetensors
English
guardeval_moderator
feature-extraction
moderation
safety
guardrails
content-moderation
modernbert
multi-task
custom_code
Instructions to use adityasaw88/modernbertguard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityasaw88/modernbertguard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adityasaw88/modernbertguard", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adityasaw88/modernbertguard", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from adityasaw88/modernbertguard: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/adityasaw88/modernbertguard/resolve/main/tokenizer.json
- Command line
-
hf download hf://adityasaw88/modernbertguard/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/adityasaw88/modernbertguard/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.