Instructions to use BeckerAnas/dark-pond-236 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeckerAnas/dark-pond-236 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BeckerAnas/dark-pond-236") 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/dark-pond-236") model = AutoModelForImageClassification.from_pretrained("BeckerAnas/dark-pond-236", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 997a1949862f7a3fb8c8f830f36489c7f2da467079ada51cfa2d8fddbdf04b1b
- Size of remote file:
- 5.71 kB
- SHA256:
- 1457145272726fc109b2f4e36298d53c4b6bd9cab093b0aea3f37d08e338c9e0
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