Instructions to use kike/table_structured_recognition_fito with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kike/table_structured_recognition_fito with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kike/table_structured_recognition_fito")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kike/table_structured_recognition_fito") model = AutoModelForObjectDetection.from_pretrained("kike/table_structured_recognition_fito") - Notebooks
- Google Colab
- Kaggle
Upload TableTransformerForObjectDetection
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 115433860
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44f0fb5768569c4e7a0e2cce9c70fec9e96e28796837e508f9c5fedff088eace
|
| 3 |
size 115433860
|