Instructions to use kmc0003a/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmc0003a/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kmc0003a/cppe5_use_data_finetuning")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kmc0003a/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("kmc0003a/cppe5_use_data_finetuning") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7400
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 166619218
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3566d8e79f1bb3020aef454e9817dfb5becb02b2028c68550b2c9fc47ec2d5f
|
| 3 |
size 166619218
|