Instructions to use SvNext/GambleTestYOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleTestYOLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleTestYOLO")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleTestYOLO") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleTestYOLO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SvNext/GambleTestYOLO: direct link, hf CLI and curl.
- Browser
- Download file 26 MB
-
https://huggingface.co/SvNext/GambleTestYOLO/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://SvNext/GambleTestYOLO@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SvNext/GambleTestYOLO/resolve/refs%2Fpr%2F2/pytorch_model.bin
26 MB
- Xet hash:
- 86aec216ae7e2b451e11c851369e2979b2c5fc345a73898aa56de9c6a120a59a
- Size of remote file:
- 26 MB
- SHA256:
- 1e40c3370735c696ef985877901a3192eaee0176f5db0f6f4596479cbf15adbb
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