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
Training in progress, step 4500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 256307093
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea2fb91eeb3460e408684bbf313738a41e361f396f850321eec44d92946bede2
|
| 3 |
size 256307093
|
runs/Jun12_21-30-22_a609e0900d96/events.out.tfevents.1686605499.a609e0900d96.23.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61f462968d971d26ad03a2c8cf4517cbeca3bc1a672f8ac1885e74a7380e17a8
|
| 3 |
+
size 18637
|