Instructions to use Transformers123/roboflow_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/roboflow_20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/roboflow_20") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/roboflow_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload SegformerForSemanticSegmentation
c5b80fc
-
Upload SegformerForSemanticSegmentation
586acb3 -
Upload SegformerForSemanticSegmentation
5f6ac9d -
Upload SegformerForSemanticSegmentation
785f83b -
Upload SegformerForSemanticSegmentation
ac6417b -
Upload SegformerForSemanticSegmentation
fddefa4 -
Upload SegformerForSemanticSegmentation
abd011f -
Upload SegformerForSemanticSegmentation
4b0c567 -
Upload SegformerForSemanticSegmentation
ab3ac47 -
Upload SegformerForSemanticSegmentation
c3f5518 -
Upload SegformerForSemanticSegmentation
6cc2c0a -
Upload SegformerForSemanticSegmentation
3871803 -
Upload SegformerForSemanticSegmentation
d642456 -
Upload SegformerForSemanticSegmentation
8ebea2d
-
Upload SegformerForSemanticSegmentation
8a45e08 -
Upload SegformerForSemanticSegmentation
c976ea9 -
Upload SegformerForSemanticSegmentation
664408b -
Upload SegformerForSemanticSegmentation
4d169e3 -
Upload SegformerForSemanticSegmentation
264ab10 -
Upload SegformerForSemanticSegmentation
aac4659 -
initial commit
fe93e5d