Instructions to use BIDEQUITY/autotrain-software_picture_preselection_classifier-2804582686 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BIDEQUITY/autotrain-software_picture_preselection_classifier-2804582686 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BIDEQUITY/autotrain-software_picture_preselection_classifier-2804582686") 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("BIDEQUITY/autotrain-software_picture_preselection_classifier-2804582686") model = AutoModelForImageClassification.from_pretrained("BIDEQUITY/autotrain-software_picture_preselection_classifier-2804582686", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf8f37b6d7ef0c07414382e84a07112e861645e455ef75eb5328a2a846c01ee6
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size 111311002
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