Instructions to use obiwan001/roadwork216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obiwan001/roadwork216 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="obiwan001/roadwork216") 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("obiwan001/roadwork216") model = AutoModelForImageClassification.from_pretrained("obiwan001/roadwork216") - Notebooks
- Google Colab
- Kaggle
Upload model_card.json with huggingface_hub
Browse files- model_card.json +1 -7
model_card.json
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{
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"model_name": "roadwork216",
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"description": "Detects roadwork",
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"version": "1.0.0",
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"submitted_by": "5HjByLXvKEf6qMpMvLKUtBpcwyHCrRPgomBXj6oB81HqK9pe",
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"submission_time": 1749021182
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}
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{"model_name": "roadwork216", "description": "Detects roadwork", "version": "1.0.0", "submitted_by": "5HjByLXvKEf6qMpMvLKUtBpcwyHCrRPgomBXj6oB81HqK9pe", "submission_time": 1749021182}
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