Instructions to use anusha2002/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anusha2002/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="anusha2002/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("anusha2002/results") model = AutoModelForObjectDetection.from_pretrained("anusha2002/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download S21_1.png from anusha2002/results: direct link, hf CLI and curl.
- Browser
- Download file 131 kB
-
https://huggingface.co/anusha2002/results/resolve/main/S21_1.png
- Command line
-
hf download hf://anusha2002/results/S21_1.png
-
curl -L -o S21_1.png https://huggingface.co/anusha2002/results/resolve/main/S21_1.png
131 kB

- Xet hash:
- d51e1239cc8f6113c8a6f5a4b7be7491e1b24e70206dc72a12a4702c0ea944cb
- Size of remote file:
- 131 kB
- SHA256:
- 33e9aae763579aae93676adc978bc2f4e00a1f051bd9b00cfe14642359b70d7b
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