Instructions to use ardha27/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ardha27/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ardha27/image_classification") 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("ardha27/image_classification") model = AutoModelForImageClassification.from_pretrained("ardha27/image_classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 52
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343242432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b02a09f43d50c2087cd62762fe943e166555a73174a7e4c97216a0e4d1aae86
|
| 3 |
size 343242432
|
runs/Feb16_06-05-29_e992295273e3/events.out.tfevents.1708063530.e992295273e3.1239.1
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 sha256:9ef92ea00f8b5dada94290ff5abffaa4508d9b8cc7b9fcdb5f9e720d5eebec85
|
| 3 |
+
size 21967
|