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")
# pip install -U transformers accelerate # 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")
https://huggingface.co/dcarpintero/pangolin-guard-base/resolve/697a49173e7e27664272943a7189b8f32975e283/tokenizer.json
hf download hf://dcarpintero/pangolin-guard-base@697a49173e7e27664272943a7189b8f32975e283/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/dcarpintero/pangolin-guard-base/resolve/697a49173e7e27664272943a7189b8f32975e283/tokenizer.json
