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 ·
c55c382
1
Parent(s): f029166
Training in progress, epoch 36
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:bd29c9cf8b5957964534a3b04bbb4e8c89f559677eeea7ac73d6576f2b71d311
|
| 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 sha256:08ce5d9dd21ec8cd3bf8850ba76a8e6f1dd452e52968fb08d386a45c939102c7
|
| 3 |
+
size 29027
|