Instructions to use gg4ever/trOCR-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg4ever/trOCR-final with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="gg4ever/trOCR-final")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("gg4ever/trOCR-final") model = AutoModelForMultimodalLM.from_pretrained("gg4ever/trOCR-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -51,7 +51,7 @@ print(generated_text)
|
|
| 51 |
### Training Hyperparameters
|
| 52 |
|
| 53 |
|hyperparameters|values|
|
| 54 |
-
|---|---|
|
| 55 |
|predict_with_generate|True|
|
| 56 |
|evaluation_strategy|"steps"|
|
| 57 |
|per_device_train_batch_size|32|
|
|
|
|
| 51 |
### Training Hyperparameters
|
| 52 |
|
| 53 |
|hyperparameters|values|
|
| 54 |
+
|---------------------|-------|
|
| 55 |
|predict_with_generate|True|
|
| 56 |
|evaluation_strategy|"steps"|
|
| 57 |
|per_device_train_batch_size|32|
|