Feature Extraction
Transformers
Safetensors
English
Chinese
multilingual
qwen3_vl
image-text-to-text
multimodal embedding
embedding
quantized
awq
4bit
compressed-tensors
custom_code
Instructions to use LifetimeMistake/Qwen3-VL-Embedding-2B-AWQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LifetimeMistake/Qwen3-VL-Embedding-2B-AWQ-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LifetimeMistake/Qwen3-VL-Embedding-2B-AWQ-4bit", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("LifetimeMistake/Qwen3-VL-Embedding-2B-AWQ-4bit", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("LifetimeMistake/Qwen3-VL-Embedding-2B-AWQ-4bit", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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