Instructions to use murkasad/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murkasad/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="murkasad/detr-resnet-50_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("murkasad/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("murkasad/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
ddfb113 -
End of training
511bba7 -
Training in progress, step 1200
83ab55a -
Training in progress, step 1000
3fea450 -
Training in progress, step 800
0f0a948 -
Training in progress, step 600
872602b -
Training in progress, step 400
646fdec -
Training in progress, step 200
b935093 -
initial commit
f6e11e4