Text Classification
Transformers
Safetensors
PyTorch
deberta-v2
facebook
meta
llama
llama4
safety
text-embeddings-inference
Instructions to use meta-llama/Llama-Prompt-Guard-2-22M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meta-llama/Llama-Prompt-Guard-2-22M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="meta-llama/Llama-Prompt-Guard-2-22M", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-Prompt-Guard-2-22M") model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-Prompt-Guard-2-22M", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
fix: set `clean_up_tokenization_spaces` to `false`
#9 opened 4 months ago
by
maxsloef
How to get 22 M version locally? And how to add new attack categories to the model?
#8 opened about 1 year ago
by
KushBor
Adding ONNX file of this model
#7 opened about 1 year ago
by
guychuk
Is this another censure tool?
#6 opened about 1 year ago
by
kumanatsu