Instructions to use SvNext/GambleStrTestYOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SvNext/GambleStrTestYOLO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SvNext/GambleStrTestYOLO")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SvNext/GambleStrTestYOLO") model = AutoModelForObjectDetection.from_pretrained("SvNext/GambleStrTestYOLO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SvNext/GambleStrTestYOLO: direct link, hf CLI and curl.
- Browser
- Download file 26 MB
-
https://huggingface.co/SvNext/GambleStrTestYOLO/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://SvNext/GambleStrTestYOLO@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SvNext/GambleStrTestYOLO/resolve/refs%2Fpr%2F1/pytorch_model.bin
26 MB
- Xet hash:
- ec87ea53808041f87a59d5f82d37a3afc5e930685d2708f104e243e818ec163c
- Size of remote file:
- 26 MB
- SHA256:
- e0d15e028787a0f034fabb2e698653c731d3cc803490e7b397ee782ee0aab6a3
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