Instructions to use BeckerAnas/cool-darkness-225 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeckerAnas/cool-darkness-225 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BeckerAnas/cool-darkness-225") 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("BeckerAnas/cool-darkness-225") model = AutoModelForImageClassification.from_pretrained("BeckerAnas/cool-darkness-225", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac7dca56a079cd3e6a76feb75b33aee9b18f67c438237c2aac10fd8b6b477667
- Size of remote file:
- 5.78 kB
- SHA256:
- cb144d25443529e7dd3b33dfb70c581b0470e4da1b9e9c7264fd900aa2e0861c
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