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
| { | |
| "word_embedding_dimension": 2560, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": false, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false, | |
| "pooling_mode_weightedmean_tokens": false, | |
| "pooling_mode_lasttoken": true, | |
| "include_prompt": true | |
| } |