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 20
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:eb01bf307b2729c7138adaf4b5e69595572cf915ae708dd67147b4cbe3d57d4e
|
| 3 |
size 343230128
|
runs/Jan12_13-49-09_09afb4ca5cc9/events.out.tfevents.1705067350.09afb4ca5cc9.406.11
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 sha256:7379f9922b1ebd721748bc43d4fbc5e4947ae48477b8f35f5d5fa3849a995864
|
| 3 |
+
size 14731
|