Instructions to use shubhamWi91/train77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shubhamWi91/train77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shubhamWi91/train77")# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("shubhamWi91/train77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f51c2f4251eb3134d6e895ade30f8372a074af104a1b917069afa2e4b75fa582
- Size of remote file:
- 879 MB
- SHA256:
- 3681d26c9ef9c5abaa71e8148924e6c33d08dec55c9a1549ebf1327f5625d3a4
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