Instructions to use jimjakdiend/Checkpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimjakdiend/Checkpoints2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jimjakdiend/Checkpoints2") 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/Checkpoints2") model = AutoModelForImageClassification.from_pretrained("jimjakdiend/Checkpoints2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0399c06
1
Parent(s): 20e05bf
Training in progress, epoch 29
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 16690772
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e653abe57f6a1e85256ead4a00a614e51797a30d03e77f773afcd3c1d39ef994
|
| 3 |
size 16690772
|
runs/Jan02_07-55-16_df20b6d0fc4f/events.out.tfevents.1704182121.df20b6d0fc4f.300.0
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 sha256:4bc3f72b585092c230e61e2e2c247ba5be62f206031bd178e057d2090fc597cc
|
| 3 |
+
size 25016
|