Image-to-Text
Transformers
Safetensors
Kazakh
vision-encoder-decoder
image-text-to-text
ocr
trocr
kazakh
printed
document-ai
Eval Results (legacy)
Instructions to use thekamilya/kazakh-trocr-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thekamilya/kazakh-trocr-fine-tuned 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="thekamilya/kazakh-trocr-fine-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("thekamilya/kazakh-trocr-fine-tuned") model = AutoModelForMultimodalLM.from_pretrained("thekamilya/kazakh-trocr-fine-tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a9c9bb3357807415b66b28b9af0b01ab26a9405d215f02c53725fd11e37fd18
- Size of remote file:
- 1.34 GB
- SHA256:
- 9c62bf92f04aecbce015bb51469856fc9c7660bf7efc18a118beb1a24cf8c3d6
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