Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/bg-classif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/bg-classif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/bg-classif") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Woleek/bg-classif") model = AutoModelForImageClassification.from_pretrained("Woleek/bg-classif") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343274861
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e85ed67e769cc66b54cb4e88d75c7b81b5f5385ee9b3f2ada64386cdc937041f
|
| 3 |
size 343274861
|
runs/Aug16_10-58-10_surveily-ag-02/events.out.tfevents.1692176326.surveily-ag-02.37321.2
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 sha256:6c0f642d2406747f4636947298dc3b3e77ff6df308c2b9df265a93fbedee0ce3
|
| 3 |
+
size 19701
|
runs/Aug16_11-02-39_surveily-ag-02/events.out.tfevents.1692176681.surveily-ag-02.63006.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1641c538abdf8a30399fba19b494fd280926e2dc00f1fcd8b337fec195e9bf4
|
| 3 |
+
size 5984
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3963
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc14070f92215463fb578c1dfedc35b27035161afb59950e332655949dea40c7
|
| 3 |
size 3963
|