Text Classification
Transformers
Safetensors
PyTorch
deberta-v2
facebook
meta
llama
llama4
safety
text-embeddings-inference
Instructions to use meta-llama/Llama-Prompt-Guard-2-86M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meta-llama/Llama-Prompt-Guard-2-86M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="meta-llama/Llama-Prompt-Guard-2-86M")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-Prompt-Guard-2-86M") model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-Prompt-Guard-2-86M", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Access denied: LlamaFirewall prerequisite
#10
by cpu0 - opened
Hello,
My access request was denied for unclear reasons. This model is a prerequisite for https://github.com/meta-llama/PurpleLlama/tree/main/LlamaFirewall thus I would like to access it in order to configure LlamaFirewall.
Could you please reevaluate my access request, please?
@cynikolai ptal
cpu0 changed discussion status to closed