Instructions to use AmineAllo/stoic-snow-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/stoic-snow-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/stoic-snow-1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/stoic-snow-1") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/stoic-snow-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 811254db4ce75c9d483d75130e9c4af02514bbf3265144197365b9674e6ae358
- Size of remote file:
- 3.96 kB
- SHA256:
- 2e392f8dae6269b544aa822cd093a784269d87d1a3f7e720f6e7f34c3c5b8e66
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