Instructions to use Noureddinesa/Output_LayoutLMv3_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noureddinesa/Output_LayoutLMv3_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noureddinesa/Output_LayoutLMv3_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Noureddinesa/Output_LayoutLMv3_v6") model = AutoModelForTokenClassification.from_pretrained("Noureddinesa/Output_LayoutLMv3_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e9e4253
1
Parent(s): 14e35c2
Training in progress, step 3000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1424196198
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ab899dee3f2ce80f667d48f37988c871b11d7eed4412b3a4e8ed0b2eb3dbb9f
|
| 3 |
size 1424196198
|
runs/Apr10_21-48-21_2cc9d6584eae/events.out.tfevents.1712785706.2cc9d6584eae.178.0
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:a418047004556ddc3d4896ea1f9e1391a82982164e529271429d19e5211a74c7
|
| 3 |
+
size 19732
|