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:
- 39b9bbc8509f32e5577ced9a5d8f0ed742da2c19832a9aa4cf49cc69d3e29dfa
- Size of remote file:
- 115 MB
- SHA256:
- c5285ddf6dce3d19a273921544206993a374062cc851819d4b46b87ffe17e3c9
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