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:
- 08070ff8c81983fc46272b64757926060c67d15b5119e93c5c2a6aa85c0ceeb6
- Size of remote file:
- 17.2 kB
- SHA256:
- 0986086309b01e25d5774fe830b360322affe581813a4e46695039c4c2c41896
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