Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use GPTersHub/Jeje-Hub_GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GPTersHub/Jeje-Hub_GPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="GPTersHub/Jeje-Hub_GPT") 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("GPTersHub/Jeje-Hub_GPT") model = AutoModelForImageClassification.from_pretrained("GPTersHub/Jeje-Hub_GPT") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6685477e1b742b8d87bc88e5867d8b6a7098d30f7ded0103e910cbb629eaa179
- Size of remote file:
- 13.3 kB
- SHA256:
- 65aec481de87be1d1bcfb588bace5b87ad4ba3885e721394ee6b1f8763b844e6
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