Instructions to use sudo-s/exper_batch_8_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e4") 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_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a34f0690504af6809cdc80e2d955e100387ebfdd2fcbe9d1ff752baa18c299e4
- Size of remote file:
- 344 MB
- SHA256:
- 925fa13cdda3ecc0b111dce06f4cb80a31d3b3b7c4fffe60cf68233332761327
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