Instructions to use TopKek/test2204 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopKek/test2204 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TopKek/test2204")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TopKek/test2204") model = AutoModelForObjectDetection.from_pretrained("TopKek/test2204", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166619173
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ae0f1b0ca7396ccb3ad6b65d8a561e1d22cbf0879c3314eafa8a430c18546086
|
| 3 |
size 166619173
|
runs/Apr22_12-13-00_926a829f8126/events.out.tfevents.1682165607.926a829f8126.3059.0
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 sha256:98edbd8f48e540ffd8bf38eed67dc96de09e0ad03fcdff88e062ea3399897d2f
|
| 3 |
+
size 20490
|