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
fix: set `clean_up_tokenization_spaces` to `false`
#13 opened 2 months ago
by
maxsloef
Request: DOI
#11 opened 9 months ago
by
tsemachh
no vLLM compatibility?
👀 2
#9 opened 11 months ago
by
alecauduro
Add id2label and label2id to config.json
1
#8 opened 11 months ago
by
nivado96
I encountered a failure when attempting to download.
#7 opened 12 months ago
by
cookieQI
Unintuitive outcomes with the model
2
#6 opened 12 months ago
by
skagpromo
How to add even more cateogries to the model?
3
#5 opened about 1 year ago
by
KushBor
id2label missing in config.json?
👍 4
2
#4 opened about 1 year ago
by
vrdn23