Instructions to use llm-semantic-router/qwen3_generative_classifier_r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-semantic-router/qwen3_generative_classifier_r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "llm-semantic-router/qwen3_generative_classifier_r16") - Transformers
How to use llm-semantic-router/qwen3_generative_classifier_r16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="llm-semantic-router/qwen3_generative_classifier_r16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llm-semantic-router/qwen3_generative_classifier_r16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 5.78 kB
- SHA256:
- c6eba5fca21e5f8e9deab042bf4c2f197bf03b2061eb8b904bcfb240e2095eb0
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