Instructions to use Santipab/Braincode-BEiT-2e-5-lion-NSCLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Santipab/Braincode-BEiT-2e-5-lion-NSCLC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Santipab/Braincode-BEiT-2e-5-lion-NSCLC") 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("Santipab/Braincode-BEiT-2e-5-lion-NSCLC") model = AutoModelForImageClassification.from_pretrained("Santipab/Braincode-BEiT-2e-5-lion-NSCLC") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is model use for competition in the Brain Code Camp 2023.
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