Text Classification
Transformers
Safetensors
English
qwen3
text-generation
agent
text-embeddings-inference
Instructions to use Rakancorle1/PolicyGuard-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakancorle1/PolicyGuard-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rakancorle1/PolicyGuard-4B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Rakancorle1/PolicyGuard-4B") model = AutoModelForCausalLM.from_pretrained("Rakancorle1/PolicyGuard-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a73e132d7502649c3ae22c2275ed18b9ccb37fb24772528611197521bcb8b672
- Size of remote file:
- 8.08 kB
- SHA256:
- bbeac1dba6efd69fd394612d5b14f1a21725a24fa7ac9bc5ad2e435c5dd3f623
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