Instructions to use sudo-s/exper_batch_8_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e8") 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/exper_batch_8_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2446c22bd8af8b2646298ed2d0d933202918807d113393fdde08e569dc8829fd
- Size of remote file:
- 344 MB
- SHA256:
- da9f8e4d7f74207aae98c2d24ad52753e8e68ce39a00c5162acb06d0cc361cfe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.