Instructions to use micole66/autotrain-pachyderms-v3-2088867198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micole66/autotrain-pachyderms-v3-2088867198 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="micole66/autotrain-pachyderms-v3-2088867198") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("micole66/autotrain-pachyderms-v3-2088867198", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95d6a76c557d23520b8095cdad4757d0f82b421f2b1e9062774fefab74b639d1
- Size of remote file:
- 1.39 GB
- SHA256:
- 7057a12e37062fe671ea400be9e678b818814f8a9a3f2959c03e3a3b45a9b3cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.