Instructions to use microsoft/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/table-transformer-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/table-transformer-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-detection") model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-detection") - Notebooks
- Google Colab
- Kaggle
Weights init fail
#2
by Maitray - opened
- .gitattributes +0 -1
- model.safetensors +0 -3
.gitattributes
CHANGED
|
@@ -30,4 +30,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 30 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 31 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 32 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 33 |
-
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
|
|
|
| 30 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 31 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 32 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:8f1aa73170102c038d40155e2734b343bf07e0fe12594228a8590943b01dccf7
|
| 3 |
-
size 115317516
|
|
|
|
|
|
|
|
|
|
|
|