Visual Document Retrieval
Transformers
Safetensors
Vietnamese
English
Chinese
internvl_chat
feature-extraction
custom_code
Instructions to use 5CD-AI/Vintern-Embedding-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5CD-AI/Vintern-Embedding-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("5CD-AI/Vintern-Embedding-1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f3d83e833e75542fa907257d683bfd704c1d0e783b71d501091aa043b814140
- Size of remote file:
- 1.88 GB
- SHA256:
- fe7a1a39ca029e4be588eccff0712106e5fa3de47849e24d206d6e6e67b79414
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