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
| { | |
| "epoch": 3.0, | |
| "total_flos": 19972198760448.0, | |
| "train_loss": 0.035565850959883794, | |
| "train_runtime": 10521.2384, | |
| "train_samples_per_second": 6.843, | |
| "train_steps_per_second": 0.107 | |
| } |