Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use goodcasper/exp_result1_resnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goodcasper/exp_result1_resnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="goodcasper/exp_result1_resnet") 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("goodcasper/exp_result1_resnet") model = AutoModelForImageClassification.from_pretrained("goodcasper/exp_result1_resnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94302952
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2bd601cf7529f1bd661a178e14f110438591b729da7955b3bc8e0bebff2342fb
|
| 3 |
size 94302952
|
runs/Aug01_16-11-33_itri-kiosk-pt/events.out.tfevents.1754035898.itri-kiosk-pt.3223092.0
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:b056e0f17872539760a3ea8b487865ab488a5f91349fc560d8cb5e22bd8aa4d1
|
| 3 |
+
size 11149
|