Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Instructions to use davanstrien/test-timm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/test-timm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/test-timm") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/test-timm") model = AutoModelForImageClassification.from_pretrained("davanstrien/test-timm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 166
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 16947712
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64659e2b23959c589fba49ecd2ca45fe9c08354a914982c23697746ce0744039
|
| 3 |
size 16947712
|
runs/Oct11_10-24-55_ed9849b3ed7e/events.out.tfevents.1728642300.ed9849b3ed7e.26007.0
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:fe3423865ee88894ec7ad3fa44dd0a4e9b76f01c305f4f9eaec8b072b32dd755
|
| 3 |
+
size 98997
|