Instructions to use cppgohan/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cppgohan/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cppgohan/my_model") 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("cppgohan/my_model") model = AutoModelForImageClassification.from_pretrained("cppgohan/my_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de2b4ed179b4878225007b51e33317f4e18f7f77186aefc6cb82a88cd0cbdf67
- Size of remote file:
- 4.86 kB
- SHA256:
- 7704fcd650a777287945c6a0b2978878d4ee1feac26887e9186f5ece26757766
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