Instructions to use BeckerAnas/stellar-lion-210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeckerAnas/stellar-lion-210 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BeckerAnas/stellar-lion-210") 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/stellar-lion-210") model = AutoModelForImageClassification.from_pretrained("BeckerAnas/stellar-lion-210", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c515f1666ee6c5f4d4fe8bdefccfe59e7e33847b30ba7fda0b03635d91118da
- Size of remote file:
- 5.78 kB
- SHA256:
- c9bc62461c0ab7f2ef17ef866b06e434e3e224814fa771cfec5427055c5a0c57
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