Instructions to use jin5605/Jins_cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jin5605/Jins_cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jin5605/Jins_cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jin5605/Jins_cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 11400
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166498936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bebf4041e2e8b4886ee6499ee651c410e3c6130a205ee99db63e8005990435b2
|
| 3 |
size 166498936
|
runs/Jan28_05-56-50_e2bfd57874c0/events.out.tfevents.1706421430.e2bfd57874c0.176.0
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:a92f47c28be043fea72913625992e4d4060e9855a5875e0ae768560b6a2f1f88
|
| 3 |
+
size 40777
|