Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
nasa
biological
Eval Results (legacy)
Instructions to use kenobi/NASA_GeneLab_MBT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kenobi/NASA_GeneLab_MBT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kenobi/NASA_GeneLab_MBT") 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("kenobi/NASA_GeneLab_MBT") model = AutoModelForImageClassification.from_pretrained("kenobi/NASA_GeneLab_MBT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e78cc1c4a3e7400970a54dcfe1ab23b877cd6fe0dccf4dacc21f15ea1e86f8a7
- Size of remote file:
- 343 MB
- SHA256:
- 6b6241cbbcb077a3b8532194ff808c01ea9c7f2b0ae5aa143ec1573ee9f96e9f
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