Feature Extraction
Transformers
Safetensors
qwen3_5_text
embeddings
sentence-similarity
information-retrieval
memory-retrieval
chinese
qwen3.5
Instructions to use Rebine/Qwen3.5-Embedding-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rebine/Qwen3.5-Embedding-0.8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Rebine/Qwen3.5-Embedding-0.8B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Rebine/Qwen3.5-Embedding-0.8B") model = AutoModel.from_pretrained("Rebine/Qwen3.5-Embedding-0.8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K