Feature Extraction
Transformers
Safetensors
English
qwen3
sentence-similarity
retrieval
agent-skills
skill-retrieval
text-embeddings-inference
Instructions to use donghongjiang/SkillReason-embedding-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use donghongjiang/SkillReason-embedding-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="donghongjiang/SkillReason-embedding-4b")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("donghongjiang/SkillReason-embedding-4b") model = AutoModel.from_pretrained("donghongjiang/SkillReason-embedding-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f26d71aeab40e6bac513acbfab71f48109e92ee379f5fc5fe23dba262364317
- Size of remote file:
- 11.4 MB
- SHA256:
- 83cdf8c3a34f68862319cb1810ee7b1e2c0a44e0864ae930194ddb76bb7feb8d
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