Instructions to use Fuat55/brain_SGD_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_SGD_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_SGD_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("Fuat55/brain_SGD_model") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_SGD_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 22
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343230128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3044640d44507cb8e79cc22587b3f4b0f600a05346d19ed52039b7b89e03dab4
|
| 3 |
size 343230128
|
runs/Jan21_10-20-59_c508074d9a4c/events.out.tfevents.1705832459.c508074d9a4c.521.3
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:db003565d2aca5e61b9658e0ba36adf85f4ab259fb4745907c10f7afcc7c4780
|
| 3 |
+
size 15679
|