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") - Inference
- Notebooks
- Google Colab
- Kaggle
Add id2label and label2id to config.json
#8
by nivado96 - opened
No description provided.