Instructions to use sooks/idbwtiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooks/idbwtiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sooks/idbwtiny") 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("sooks/idbwtiny") model = AutoModelForImageClassification.from_pretrained("sooks/idbwtiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40b03ba2e64ad1ad58543e5e657a2e58f2fe74f186634efc58d2761063fc8779
- Size of remote file:
- 111 MB
- SHA256:
- db90e825a0be3182b426b795019cf50a0b963ea221eaa7bffaaeec7ca735a1fc
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