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:
- 8f5b3a1784a3e32858a07d7c7016708fbeefeafc1ef096f419cc8f27819fc8c8
- Size of remote file:
- 11.4 MB
- SHA256:
- f167a8394b8900bf9d8249a47d4d29e1c0242f557f27f602d8d7f66b7a4e9234
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