Instructions to use mmanikanta/ResNet_AI_image_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmanikanta/ResNet_AI_image_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mmanikanta/ResNet_AI_image_detector") 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("mmanikanta/ResNet_AI_image_detector") model = AutoModelForImageClassification.from_pretrained("mmanikanta/ResNet_AI_image_detector") - Notebooks
- Google Colab
- Kaggle
Commit ·
a11a1ce
1
Parent(s): 0b16cee
End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.99,
|
| 3 |
+
"eval_accuracy": 0.9506666666666667,
|
| 4 |
+
"eval_loss": 0.1330413967370987,
|
| 5 |
+
"eval_runtime": 75.1908,
|
| 6 |
+
"eval_samples_per_second": 398.985,
|
| 7 |
+
"eval_steps_per_second": 24.937,
|
| 8 |
+
"total_flos": 1.4854589405842637e+19,
|
| 9 |
+
"train_loss": 0.31431262887952965,
|
| 10 |
+
"train_runtime": 4384.3481,
|
| 11 |
+
"train_samples_per_second": 159.659,
|
| 12 |
+
"train_steps_per_second": 2.493
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.99,
|
| 3 |
+
"eval_accuracy": 0.9506666666666667,
|
| 4 |
+
"eval_loss": 0.1330413967370987,
|
| 5 |
+
"eval_runtime": 75.1908,
|
| 6 |
+
"eval_samples_per_second": 398.985,
|
| 7 |
+
"eval_steps_per_second": 24.937
|
| 8 |
+
}
|
runs/Apr20_19-02-54_38adce425ec3/events.out.tfevents.1713644952.38adce425ec3.843.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56b553b09bd1cb5a32c744196ad5fd01f95771ae232aecb81da87cae41aa11dd
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 9.99,
|
| 3 |
+
"total_flos": 1.4854589405842637e+19,
|
| 4 |
+
"train_loss": 0.31431262887952965,
|
| 5 |
+
"train_runtime": 4384.3481,
|
| 6 |
+
"train_samples_per_second": 159.659,
|
| 7 |
+
"train_steps_per_second": 2.493
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|