Text Classification
Transformers
ONNX
Safetensors
Chinese
English
xlm-roberta
llm-routing
cost-optimization
chinese
text-embeddings-inference
Instructions to use GOSHUNCLE/llm-router-complexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GOSHUNCLE/llm-router-complexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GOSHUNCLE/llm-router-complexity")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GOSHUNCLE/llm-router-complexity") model = AutoModelForSequenceClassification.from_pretrained("GOSHUNCLE/llm-router-complexity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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