Instructions to use Archana02/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archana02/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Archana02/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Archana02/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Archana02/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 450604414
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:691ba0aa6f50ca3fdec7d3b784e642801cafc87d8a980234b7750d65124624ba
|
| 3 |
size 450604414
|