Instructions to use moetezsa/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moetezsa/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="moetezsa/model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("moetezsa/model") model = AutoModelForObjectDetection.from_pretrained("moetezsa/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8042ed5e35ef9b455a2c56270056a89c8a1d91886c0e3ee0bb80ca3bb645814
- Size of remote file:
- 116 MB
- SHA256:
- f70fec3216fb90c7c3a1c4f79f7cb3a4e76db43153aedae3f3ef7386e50977e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.