Instructions to use sudo-s/exper1_mesum5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper1_mesum5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper1_mesum5") 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("sudo-s/exper1_mesum5") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper1_mesum5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4deba0504ae47b11b4f8660466d7008b7875ef2e60136ef2f0496bb7a42b7ca8
- Size of remote file:
- 3.31 kB
- SHA256:
- d8373e643b1ce0ecbc8772b57a31705d5bcfb288717ba607bffd8d4b6d78968e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.