Instructions to use Githubturer/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Githubturer/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Githubturer/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Githubturer/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Githubturer/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1
by librarian-bot - opened
README.md
CHANGED
|
@@ -3,6 +3,7 @@ tags:
|
|
| 3 |
- generated_from_trainer
|
| 4 |
datasets:
|
| 5 |
- layoutlm_resume_data
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: layoutlm-funsd
|
| 8 |
results: []
|
|
|
|
| 3 |
- generated_from_trainer
|
| 4 |
datasets:
|
| 5 |
- layoutlm_resume_data
|
| 6 |
+
base_model: microsoft/layoutlm-base-uncased
|
| 7 |
model-index:
|
| 8 |
- name: layoutlm-funsd
|
| 9 |
results: []
|