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:
- 9832933e870fc7470d5a37cf40dfb3b7fa86af36ec6f42d4e7e4aa928d4f6c8d
- Size of remote file:
- 5 GB
- SHA256:
- d92e455e6459947d282af3c9ce884ace03ef164583b45fb621ddfcfaf6b3fbbb
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