Feature Extraction
Transformers
PyTorch
qwen3_vl
embeddings
multimodal
retrieval
compositional-reasoning
vision
reranker-distillation
Instructions to use Alibaba-NLP/core-emb-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/core-emb-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Alibaba-NLP/core-emb-2b")# Load model directly from transformers import AutoProcessor, Qwen3VLForEmbedding processor = AutoProcessor.from_pretrained("Alibaba-NLP/core-emb-2b") model = Qwen3VLForEmbedding.from_pretrained("Alibaba-NLP/core-emb-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
b1567b5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a
size 11423705
|