Image-to-Text
Transformers
PyTorch
TensorBoard
Safetensors
Russian
English
vision-encoder-decoder
image-text-to-text
ocr
Instructions to use raxtemur/trocr-base-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raxtemur/trocr-base-ru 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="raxtemur/trocr-base-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("raxtemur/trocr-base-ru") model = AutoModelForImageTextToText.from_pretrained("raxtemur/trocr-base-ru") - Notebooks
- Google Colab
- Kaggle
trocr-small-ru ?
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#2 opened over 1 year ago
by
zoldaten