Instructions to use Sharka/CIVQA_Impira_QA_EasyOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharka/CIVQA_Impira_QA_EasyOCR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Sharka/CIVQA_Impira_QA_EasyOCR")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sharka/CIVQA_Impira_QA_EasyOCR") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Sharka/CIVQA_Impira_QA_EasyOCR") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,4 +24,4 @@ All invoices used in this dataset were obtained from public sources. Over these
|
|
| 24 |
- QR code
|
| 25 |
- Supplier's address
|
| 26 |
|
| 27 |
-
You can find more information about this
|
|
|
|
| 24 |
- QR code
|
| 25 |
- Supplier's address
|
| 26 |
|
| 27 |
+
You can find more information about this model in this [paper](https://nlp.fi.muni.cz/raslan/raslan23.pdf#page=31).
|