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 27
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:a9b1159a4b8a9e807a9c7e7c534072ed6a201bc82503dfd75e44d3c9b3702346
|
| 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 sha256:5a19c19bbc66970737309e3a0cbecdbf0ef516484769cef8704b207cf4cf9134
|
| 3 |
+
size 13483
|