Instructions to use whyoke/train_30epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whyoke/train_30epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="whyoke/train_30epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("whyoke/train_30epoch") model = AutoModelForObjectDetection.from_pretrained("whyoke/train_30epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 14200
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166664421
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7006bb41610b3c8f43f0f907330e4508c40e37fa035d4fd1debc6f77c95c8764
|
| 3 |
size 166664421
|
runs/Apr07_13-17-30_yokz-labtop/events.out.tfevents.1680848263.yokz-labtop.18176.0
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:a981584279c6adb0bca7a1056d00c5f1940bba71f52a9b70fdbb56b1ba6d8296
|
| 3 |
+
size 51317
|