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")# pip install -U transformers accelerate # 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
Download images/XRay_irradiated_Nuclei.png from kenobi/NASA_GeneLab_MBT: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/kenobi/NASA_GeneLab_MBT/resolve/main/images/XRay_irradiated_Nuclei.png
- Command line
-
hf download hf://kenobi/NASA_GeneLab_MBT/images/XRay_irradiated_Nuclei.png
-
curl -L -o XRay_irradiated_Nuclei.png https://huggingface.co/kenobi/NASA_GeneLab_MBT/resolve/main/images/XRay_irradiated_Nuclei.png
151 kB
