Instructions to use Nursultan03/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nursultan03/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Nursultan03/model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Nursultan03/model") model = AutoModelForImageClassification.from_pretrained("Nursultan03/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe03d1f7e159d95198f0e410b7af56adb7d0c3d62f283dabb7abe3033af62b1b
- Size of remote file:
- 433 MB
- SHA256:
- c30448e7d9063d3f2b05e0f106d9fe369d041c72420cd3b4b4b06433e0f1fcd2
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