Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use embunna/resnet-18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use embunna/resnet-18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="embunna/resnet-18") 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("embunna/resnet-18") model = AutoModelForImageClassification.from_pretrained("embunna/resnet-18") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44766388
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73a47782aea76a591c219ad3d5ea8c475eca98b7e7896e75a30538c8f5f441f7
|
| 3 |
size 44766388
|
runs/Jun06_03-32-59_e4a29acb3a86/events.out.tfevents.1717644780.e4a29acb3a86.445.2
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 sha256:82802094e908cf744142ec7596bff64cbccd42a7bba98bc1cdc0f8963ffe6f89
|
| 3 |
+
size 7646
|