Zero-Shot Image Classification
OpenCLIP
ONNX
English
clip
vision
aerial
drone
tracking
re-identification
Instructions to use llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet') tokenizer = open_clip.get_tokenizer('hf-hub:llama-farm/llama-thunderdome-clip-aerial-vit-b16-v3-drone-fleet') - Notebooks
- Google Colab
- Kaggle
Upload clip-aerial-vit-b16-v3-224.onnx.manifest.json with huggingface_hub
Browse files
clip-aerial-vit-b16-v3-224.onnx.manifest.json
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{
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"source_checkpoint": "/tmp/v3-export/best.pt",
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"source_sha256": "cb65a3e7766453ef1282f7e2a9ffeb26f31e4c70307ccaffbb0aacf8b1434e33",
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"output_path": "/tmp/v3-export/clip-aerial-vit-b16-v3-224.onnx",
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"output_sha256": "2fdd5b46e33e11c42bc18ef0a35af9f1a4591027485a26ae8552650e57ceb3b3",
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"base_model": "ViT-B-16",
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"pretrained_baseline": "openai",
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"imgsz": 224,
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"opset": 14,
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],
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"output_dim": null,
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"normalization": {
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"scheme": "CLIP",
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"exporter_version": "thunderdome.clip.export_onnx.v1",
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"exported_at": "2026-05-26T17:33:27.778970Z"
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}
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