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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Fuat55/brain_RMSprop_model") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_RMSprop_model", device_map="auto") - 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:abfc0d7d5281d875804bcbb379029eb40a23084d04b9ec053b2cea7ace12e2c5
|
| 3 |
size 343230128
|
runs/Jan12_14-36-18_09afb4ca5cc9/events.out.tfevents.1705070178.09afb4ca5cc9.406.14
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:eab71eaf4d677654c0c9f8723b51d7035d9b7cd6fcb5627fbf2f1590f44212a3
|
| 3 |
+
size 15691
|