Instructions to use sudo-s/new_exper3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/new_exper3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/new_exper3") 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/new_exper3") model = AutoModelForImageClassification.from_pretrained("sudo-s/new_exper3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a13457add3fc32f07885353366c5b6f0a190440dcb6f9b94ae625844155623cc
- Size of remote file:
- 2.93 kB
- SHA256:
- 268881409fdc78d4f83b1fd4215ed550c58023ee0d10c7c992bd3acd3c5071f7
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