Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Arlethh/09arly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arlethh/09arly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Arlethh/09arly") 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("Arlethh/09arly") model = AutoModelForImageClassification.from_pretrained("Arlethh/09arly") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
runs/Sep14_01-15-03_fd7dc92e6756/events.out.tfevents.1694654143.fd7dc92e6756.192.0
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 sha256:4f9a54ece7e2712c807f6a0136fa75a2348a5bca736a9e329e5ae8c81456fcea
|
| 3 |
+
size 4908
|