Instructions to use aabdumalikov/image-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aabdumalikov/image-classification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aabdumalikov/image-classification-v1") 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("aabdumalikov/image-classification-v1") model = AutoModelForImageClassification.from_pretrained("aabdumalikov/image-classification-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 367fae928b82d42be8de6dd2bb0f3747f4c05dd73b1b3d6affd361323414164d
- Size of remote file:
- 5.18 kB
- SHA256:
- 0dceec3963b87106fb3ebe5028d72f2a2a48bd94efd19060696745c4da965f3a
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