Feature Extraction
Transformers
PyTorch
qwen3_vl
embeddings
multimodal
retrieval
compositional-reasoning
vision
reranker-distillation
Instructions to use Alibaba-NLP/core-emb-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/core-emb-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Alibaba-NLP/core-emb-8b")# Load model directly from transformers import AutoProcessor, Qwen3VLForEmbedding processor = AutoProcessor.from_pretrained("Alibaba-NLP/core-emb-8b") model = Qwen3VLForEmbedding.from_pretrained("Alibaba-NLP/core-emb-8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 734f8abce8bef53bbfdd805832de6172c8996951497b40d4a7ca001aee127bac
- Size of remote file:
- 4.92 GB
- SHA256:
- b920af00733eccc469a0ff215cd5fb53c07e6210cbb03dd2d6839459841782b3
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