Instructions to use dexforint/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dexforint/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("dexforint/checkpoints") model = SegformerForSemanticSegmentation.from_pretrained("dexforint/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 16000
009cea5 -
Training in progress, step 15500
e7606a3 -
Training in progress, step 15000
55b1833 -
Training in progress, step 14500
14e2e51 -
Training in progress, step 14000
9eb1799 -
Training in progress, step 13500
ae013d4 -
Training in progress, step 13000
40e2273 -
Training in progress, step 12500
0d2587c -
Training in progress, step 12000
e45439a -
Training in progress, step 11500
2c9c932 -
Training in progress, step 11000
2a53fea -
Training in progress, step 10500
968862b -
Training in progress, step 10000
8131e00 -
Training in progress, step 9500
5541e58 -
Training in progress, step 9000
6da1cc8 -
Training in progress, step 8500
5158e5c -
Training in progress, step 8000
1beb58e -
Training in progress, step 7500
6ce0d8d -
Training in progress, step 7000
ee7c4a2 -
Training in progress, step 6500
e76781a -
Training in progress, step 6000
909670a -
Training in progress, step 5500
79d8d9a -
Training in progress, step 5000
a5216f3
-
Training in progress, step 4500
cd4c4ab -
Training in progress, step 4000
11e6b4e -
Training in progress, step 3500
37ff100 -
Training in progress, step 3000
87f7458 -
Training in progress, step 2500
b28d23c -
Training in progress, step 2000
cb6b261 -
Training in progress, step 1500
9dd7f01 -
Training in progress, step 1000
bc5229b -
Training in progress, step 500
3164584 -
initial commit
cf9bf3f