Instructions to use jimjakdiend/Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimjakdiend/Checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jimjakdiend/Checkpoints") 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("jimjakdiend/Checkpoints") model = AutoModelForImageClassification.from_pretrained("jimjakdiend/Checkpoints") - Notebooks
- Google Colab
- Kaggle
Commit ·
2ab1697
1
Parent(s): 5d468d7
Training in progress, step 168
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343318378
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21a3290b7946c4141157efb89972cb8e099312e6e72a82b4297d07d80daaf278
|
| 3 |
size 343318378
|