Instructions to use dmasamba/deberta-v3-prompt-guard-mixed-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmasamba/deberta-v3-prompt-guard-mixed-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dmasamba/deberta-v3-prompt-guard-mixed-v4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dmasamba/deberta-v3-prompt-guard-mixed-v4") model = AutoModelForSequenceClassification.from_pretrained("dmasamba/deberta-v3-prompt-guard-mixed-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dmasamba/deberta-v3-prompt-guard-mixed-v4: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/dmasamba/deberta-v3-prompt-guard-mixed-v4/resolve/main/tokenizer.json
- Command line
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hf download hf://dmasamba/deberta-v3-prompt-guard-mixed-v4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dmasamba/deberta-v3-prompt-guard-mixed-v4/resolve/main/tokenizer.json
8.65 MB
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