Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use fullstuck/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fullstuck/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fullstuck/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("fullstuck/image_classification") model = AutoModelForImageClassification.from_pretrained("fullstuck/image_classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 42
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 sha256:922ba4f74cd09a25f30d801ce1a32dd737dbe8d166fca2c7b02bddab7f4ec494
|
| 3 |
size 343242432
|
runs/Feb16_14-26-47_13e690524ef8/events.out.tfevents.1708093620.13e690524ef8.4038.0
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:bfbe326fc8df0e424d70132d444d7c52fbae8547a609f2446b5c15750e39dd60
|
| 3 |
+
size 18485
|