Instructions to use mayank0621/owlvit-base-patch32_FT_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mayank0621/owlvit-base-patch32_FT_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="mayank0621/owlvit-base-patch32_FT_cppe5")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5") model = AutoModelForZeroShotObjectDetection.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5400
Browse files
runs/Jun21_17-37-30_AHMCPU2839/events.out.tfevents.1718971650.AHMCPU2839.183587.0
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:ab015af768127e4920e0d5123489142514b5daf5444787811c8c81167f3ab5e9
|
| 3 |
+
size 27812
|
runs/Jun21_18-25-25_AHMCPU2839/events.out.tfevents.1718974525.AHMCPU2839.152966.8
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 sha256:1b571b8d4915f1cf95d43e7e62e26bcd80aa693de15d7c939287945624a60243
|
| 3 |
+
size 5032
|
runs/Jun21_18-25-53_AHMCPU2839/events.out.tfevents.1718974554.AHMCPU2839.152966.9
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:c65232e565234aa74806570dce35416476ab153d66bf36fe7db09e2526bdb924
|
| 3 |
+
size 5868
|