Instructions to use Noureddinesa/Output_LayoutLMv3_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noureddinesa/Output_LayoutLMv3_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noureddinesa/Output_LayoutLMv3_v2")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Noureddinesa/Output_LayoutLMv3_v2") model = AutoModelForTokenClassification.from_pretrained("Noureddinesa/Output_LayoutLMv3_v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1424100996
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bd81c47c6ead89c1b2f56f7e44e7600317788c41cab4627ca77343fccec6922b
|
| 3 |
size 1424100996
|
runs/Apr02_15-14-33_9752e6598ef7/events.out.tfevents.1712070874.9752e6598ef7.250.0
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:cc9122e4aabbde92a03ad897ea7ca8beec209986e281f4a791a06988c5bd008a
|
| 3 |
+
size 12893
|