Instructions to use EUNSEO56/use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EUNSEO56/use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="EUNSEO56/use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("EUNSEO56/use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("EUNSEO56/use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
c8eeeb5 -
End of training
56b4bd2 -
Training in progress, step 5600
1bc0f8b -
Training in progress, step 5400
4d1a068 -
Training in progress, step 5200
cb51a3c -
Training in progress, step 5000
4a3c816 -
Training in progress, step 4800
e9e37e0 -
Training in progress, step 4600
58663a5 -
Training in progress, step 4400
6f543d2 -
Training in progress, step 4200
6bdb36b -
Training in progress, step 4000
a1ef4a0 -
Training in progress, step 3800
a1caa60 -
Training in progress, step 3600
38d3811 -
Training in progress, step 3400
6212039 -
Training in progress, step 3200
eb9c821 -
Training in progress, step 3000
4bdc148 -
Training in progress, step 2800
21abc19 -
Training in progress, step 2600
36f1274 -
Training in progress, step 2400
84a2bcb -
Training in progress, step 2200
f4d2275 -
Training in progress, step 2000
280bd35 -
Training in progress, step 1800
a372459 -
Training in progress, step 1600
f978dc1 -
Training in progress, step 1400
235cbe0 -
Training in progress, step 1200
dee88a8 -
Training in progress, step 1000
1da3a6a -
Training in progress, step 800
5dd7ef0 -
Training in progress, step 600
1c15eee -
Training in progress, step 400
bc3165f -
Training in progress, step 200
ceb88a3 -
initial commit
7830fd4