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
Update config.json
Browse files- config.json +4 -4
config.json
CHANGED
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@@ -1,13 +1,13 @@
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{
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"_commit_hash": null,
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-
"_name_or_path": "
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"architectures": [
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"ColInternVL2"
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],
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"auto_map": {
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"AutoConfig": "5CD-AI/Vintern-1B-
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"AutoModel": "5CD-AI/Vintern-1B-
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"AutoModelForCausalLM": "5CD-AI/Vintern-1B-
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},
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"downsample_ratio": 0.5,
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"dynamic_image_size": true,
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{
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"_commit_hash": null,
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+
"_name_or_path": "",
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"architectures": [
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"ColInternVL2"
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],
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"auto_map": {
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+
"AutoConfig": "5CD-AI/Vintern-Embedding-1B--configuration_internvl_chat.InternVLChatConfig",
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"AutoModel": "5CD-AI/Vintern-Embedding-1B--modeling_colinternvl2.ColInternVL2",
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"AutoModelForCausalLM": "5CD-AI/Vintern-Embedding-1B--modeling_colinternvl2.ColInternVL2"
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},
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"downsample_ratio": 0.5,
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"dynamic_image_size": true,
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