Text Classification
Transformers
Safetensors
modernbert
ai-safety
safeguards
guardrails
text-embeddings-inference
Instructions to use dcarpintero/pangolin-guard-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dcarpintero/pangolin-guard-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dcarpintero/pangolin-guard-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dcarpintero/pangolin-guard-base") model = AutoModelForSequenceClassification.from_pretrained("dcarpintero/pangolin-guard-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dcarpintero/pangolin-guard-base: direct link, hf CLI and curl.
- Browser
- Download file 598 MB
-
https://huggingface.co/dcarpintero/pangolin-guard-base/resolve/d139d7bae32b43563b531a91c4702f5d1fb4b401/model.safetensors
- Command line
-
hf download hf://dcarpintero/pangolin-guard-base@d139d7bae32b43563b531a91c4702f5d1fb4b401/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dcarpintero/pangolin-guard-base/resolve/d139d7bae32b43563b531a91c4702f5d1fb4b401/model.safetensors
598 MB
- Xet hash:
- 49fc1f04b1d19792068ded98f1a3f22efb62e0dafe25f353703dde559a3f1e7d
- Size of remote file:
- 598 MB
- SHA256:
- 82aacdcc4538216d0cdd4888a8b433777b813083087d8bc2c976a74bcb55d9c9
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