Instructions to use pokogta/logo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pokogta/logo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="pokogta/logo2")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("pokogta/logo2") model = AutoModelForObjectDetection.from_pretrained("pokogta/logo2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pokogta/logo2: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/pokogta/logo2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pokogta/logo2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pokogta/logo2/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- bb26520945d2c9939b9e2184163d3d8c1ae45680c14a94ce07f8d1b61ae9bc1b
- Size of remote file:
- 167 MB
- SHA256:
- bd6dd8c1de0f40c85a0977371195f8fe9eef56711b133b612d094180b7c22bde
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