Text Classification
PEFT
Safetensors
English
multilingual
content-safety
lora
mlcommons
ai-safety
hazard-classification
moderation
Instructions to use vllm-sr/mmbert-safety-binary-hazard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vllm-sr/mmbert-safety-binary-hazard with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("jhu-clsp/mmBERT-base") model = PeftModel.from_pretrained(base_model, "vllm-sr/mmbert-safety-binary-hazard") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vllm-sr/mmbert-safety-binary-hazard: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/vllm-sr/mmbert-safety-binary-hazard/resolve/main/tokenizer.json
- Command line
-
hf download hf://vllm-sr/mmbert-safety-binary-hazard/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vllm-sr/mmbert-safety-binary-hazard/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- d190257ad9e708b6380d3c156211aadc3067a642e133cddeb10406f735092b83
- Size of remote file:
- 34.4 MB
- SHA256:
- 3cdd116e350e9551f912dd7670b55fe726dcd5d6377c7477ef4792885deb9c1a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.