Instructions to use dakkoong/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dakkoong/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dakkoong/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dakkoong/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("dakkoong/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 2400
652f540 -
Training in progress, step 2200
9d23825 -
Training in progress, step 2000
b3db62f -
Training in progress, step 1800
a9defd8 -
Training in progress, step 1600
40d1f46 -
Training in progress, step 1400
c476d2b -
Training in progress, step 1200
a19c11b -
Training in progress, step 1000
655dda7 -
Training in progress, step 800
fba464f -
Training in progress, step 600
9d1353d -
Training in progress, step 400
1bff105 -
Training in progress, step 200
8cefbb5 -
Training in progress, step 800
a764863 -
Training in progress, step 600
fbe8957 -
Training in progress, step 400
44e0dcb -
Training in progress, step 200
1bfd3a8 -
Training in progress, step 1200
0a1a117 -
Training in progress, step 1000
c273bbe -
Training in progress, step 800
9965605 -
Training in progress, step 600
b2ce42a -
Training in progress, step 400
ef25161 -
Training in progress, step 200
0e325b3 -
initial commit
be2d587