Text Classification
PEFT
Safetensors
Transformers
lora
unsloth
agentgate
ai-agents
security
prompt-injection
decision-model
Instructions to use codeload/agentgate-qwen-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codeload/agentgate-qwen-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "codeload/agentgate-qwen-0.8b") - Transformers
How to use codeload/agentgate-qwen-0.8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeload/agentgate-qwen-0.8b")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codeload/agentgate-qwen-0.8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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