Feature Extraction
Transformers
Safetensors
English
qwen3
embedding
retrieval
agent-tools
skill-routing
contrastive-learning
text-embeddings-inference
Instructions to use pipizhao/SkillRouter-Embedding-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pipizhao/SkillRouter-Embedding-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pipizhao/SkillRouter-Embedding-0.6B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pipizhao/SkillRouter-Embedding-0.6B") model = AutoModel.from_pretrained("pipizhao/SkillRouter-Embedding-0.6B") - Inference
- Notebooks
- Google Colab
- Kaggle
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