Instructions to use iSEE-Laboratory/llmdet_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iSEE-Laboratory/llmdet_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="iSEE-Laboratory/llmdet_tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("iSEE-Laboratory/llmdet_tiny") model = AutoModelForZeroShotObjectDetection.from_pretrained("iSEE-Laboratory/llmdet_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from iSEE-Laboratory/llmdet_tiny: direct link, hf CLI and curl.
- Browser
- Download file 692 MB
-
https://huggingface.co/iSEE-Laboratory/llmdet_tiny/resolve/main/model.safetensors
- Command line
-
hf download hf://iSEE-Laboratory/llmdet_tiny/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/iSEE-Laboratory/llmdet_tiny/resolve/main/model.safetensors
692 MB
- Xet hash:
- 95dc4188c5e7161a92a48635800d7209fcec4508504d29af8e38f460e1a5480e
- Size of remote file:
- 692 MB
- SHA256:
- f0e476be3d65c7c50e13029b0adc4bb5d4e05f3eb6d7bb04856578095e6ad92f
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