Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use jinhybr/OCR-LayoutLMv3-Invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinhybr/OCR-LayoutLMv3-Invoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jinhybr/OCR-LayoutLMv3-Invoice")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("jinhybr/OCR-LayoutLMv3-Invoice") model = AutoModelForTokenClassification.from_pretrained("jinhybr/OCR-LayoutLMv3-Invoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
logs/events.out.tfevents.1667783647.132-145-141-187.64914.0
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:fe5fd04e4cdff9cde2704354d56619a017a794b79d9c5b179ea2c94a3ab7144b
|
| 3 |
+
size 12870
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 503827343
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d341c227bf0de911d48cdfdea67a6537e320d951b8f8ef60700be21eee204c0
|
| 3 |
size 503827343
|