Instructions to use fadhfaiz/reapikui_best_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fadhfaiz/reapikui_best_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fadhfaiz/reapikui_best_model") 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("fadhfaiz/reapikui_best_model") model = AutoModelForImageClassification.from_pretrained("fadhfaiz/reapikui_best_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343528508
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79a8c25d00d0e4e0876578840b82cc0c8091f8a69e95ed94625da662a52a5278
|
| 3 |
size 343528508
|
runs/Jun17_23-10-31_25ba6ed497e5/events.out.tfevents.1718665898.25ba6ed497e5.1275.1
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:ed124be776e9036297d46d51adf4178ab57f13adc9508a4fa13c22ae1eb93488
|
| 3 |
+
size 14825
|