Instructions to use William0609/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use William0609/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="William0609/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("William0609/trained_model") model = AutoModelForObjectDetection.from_pretrained("William0609/trained_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
653e17b
1
Parent(s): ed396a5
Training in progress, step 1000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166623269
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01672ae20d93ca135c49fbdc1964d305cdb00d132699469af0c9a83bf526af1a
|
| 3 |
size 166623269
|
runs/Jun29_20-52-19_db0c9c19f928/events.out.tfevents.1688071971.db0c9c19f928.1575.0
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:b34b0baa8846b04672d8f852dbb89df027dba1b8a604e779d15ecefb322c0df0
|
| 3 |
+
size 8059
|