Instructions to use jimjakdiend/CNN_Mult with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimjakdiend/CNN_Mult with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jimjakdiend/CNN_Mult") 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("jimjakdiend/CNN_Mult") model = AutoModelForImageClassification.from_pretrained("jimjakdiend/CNN_Mult", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0859907
1
Parent(s): e3c6a3d
Training in progress, epoch 42
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 16265376
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:314e49142185ca75d043feca4cb1e67514015005676811d015894f773f38b0e5
|
| 3 |
size 16265376
|
runs/Jan05_06-56-33_74b28714b2bf/events.out.tfevents.1704437797.74b28714b2bf.3707.3
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 sha256:9ab110402de9867d19da46b75f66f387aae0d96ffab361bd20d35ed5577e2287
|
| 3 |
+
size 29705
|