Instructions to use mrsarthakgupta/localmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrsarthakgupta/localmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mrsarthakgupta/localmodel") 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("mrsarthakgupta/localmodel") model = AutoModelForImageClassification.from_pretrained("mrsarthakgupta/localmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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{
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"_name_or_path": "mrsarthakgupta/
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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{
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"_name_or_path": "mrsarthakgupta/localmodel",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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