Instructions to use fxmarty/tiny-testing-remote-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-testing-remote-code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/tiny-testing-remote-code", trust_remote_code=True) 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("fxmarty/tiny-testing-remote-code", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Felix Marty commited on
Commit ·
a9d8289
1
Parent(s): 5672156
somewhat better with architectures in config
Browse files- config.json +3 -0
config.json
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{
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"_name_or_path": "microsoft/resnet-18",
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"auto_map": {
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"AutoModelForImageClassification": "modeling_resnet.ResNetCustomForImageClassification"
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},
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{
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"_name_or_path": "microsoft/resnet-18",
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"architectures": [
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"ResNetCustomForImageClassification"
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],
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"auto_map": {
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"AutoModelForImageClassification": "modeling_resnet.ResNetCustomForImageClassification"
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},
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