Feature Extraction
Transformers
Safetensors
English
qwen3
text-generation
sentence-similarity
retrieval
agent-skills
skill-retrieval
text-embeddings-inference
Instructions to use donghongjiang/SkillReason-embedding-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use donghongjiang/SkillReason-embedding-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="donghongjiang/SkillReason-embedding-0.6b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("donghongjiang/SkillReason-embedding-0.6b") model = AutoModelForCausalLM.from_pretrained("donghongjiang/SkillReason-embedding-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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