Instructions to use laszlokiss27/doodle-dash2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laszlokiss27/doodle-dash2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="laszlokiss27/doodle-dash2") 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("laszlokiss27/doodle-dash2") model = AutoModelForImageClassification.from_pretrained("laszlokiss27/doodle-dash2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aca9e5082431dc20eb817d05e6cdb873e09c54a779c316d5d26d6cb51d8ff388
- Size of remote file:
- 18.4 MB
- SHA256:
- 28184813e695da9074eb277c8000be311e12d53352ec1ed2b6b268532b81b323
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