Instructions to use jungwoo3490/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jungwoo3490/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="jungwoo3490/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("jungwoo3490/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("jungwoo3490/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
5ddd451
1
Parent(s): 3be615a
Training in progress, step 2400
Browse files- pytorch_model.bin +1 -1
- training_args.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 166619218
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:945bb3f35db58605c19a4742c2be11a5ee24799a212f6e415a1b25ec809b546a
|
| 3 |
size 166619218
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4536
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:856f3404e95cf5aa19678809dbe470ec01372a58a14147db123374543fcca1f6
|
| 3 |
size 4536
|