Instructions to use Fuat55/brain_RMSprop_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_RMSprop_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_RMSprop_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_RMSprop_model") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_RMSprop_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 12
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 sha256:2b6d7ecfbfe6848125a029808d563b7d73c36880587915ed09217121ef04fe26
|
| 3 |
size 343230128
|
runs/Jan12_14-20-26_09afb4ca5cc9/events.out.tfevents.1705069227.09afb4ca5cc9.406.13
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:cfe9305eb14a6bc6d5c3b276f8c67398a8808042fe1fe275335e0c390f01167f
|
| 3 |
+
size 10577
|