Instructions to use BadreddineHug/Output_LayoutLMv3_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/Output_LayoutLMv3_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/Output_LayoutLMv3_1")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/Output_LayoutLMv3_1") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/Output_LayoutLMv3_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
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 sha256:9f67618e386863d2426694b2ece8b27f0f5b6bb2f550bf10d8ba8d0da268097d
|
| 3 |
size 1424100996
|
runs/Apr01_20-13-19_fgmed03.irtse-pf.ext/events.out.tfevents.1711995206.fgmed03.irtse-pf.ext.2255075.0
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:bdaf7313747186641a7182e48b6cb2f771f01573e0f5871117286a0a138c8511
|
| 3 |
+
size 20642
|