Instructions to use rishabbala/cct_14_7x2_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishabbala/cct_14_7x2_384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rishabbala/cct_14_7x2_384", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("rishabbala/cct_14_7x2_384", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 329df4103c9c566fb2fc68c31dd4774ffa34665ea971faae58eb56e627a2f014
- Size of remote file:
- 90.1 MB
- SHA256:
- b3131ecbb1273a6d9eb03edb78a2f2d5a871c73e4e7c94bf70db98b870ff565b
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