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 18
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 sha256:188a05dac575f4fc3e20d61a81a17b9a91a71275316a9b103c6cbb649c2943ba
|
| 3 |
size 343230128
|
runs/Jan12_13-17-48_09afb4ca5cc9/events.out.tfevents.1705065468.09afb4ca5cc9.406.9
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 sha256:8cdf0ee072025c875293b4055b223f13bc066b123e9ddb4e933b173d0880ff6c
|
| 3 |
+
size 14094
|