Image-to-Text
Transformers
Safetensors
PEFT
Russian
Ukrainian
vision-encoder-decoder
image-text-to-text
trocr
ocr
handwriting
handwritten
cyrillic
russian
ukrainian
lora
Eval Results (legacy)
Instructions to use Hukyl/trocr-kgb-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hukyl/trocr-kgb-archive 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="Hukyl/trocr-kgb-archive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Hukyl/trocr-kgb-archive") model = AutoModelForMultimodalLM.from_pretrained("Hukyl/trocr-kgb-archive", device_map="auto") - PEFT
How to use Hukyl/trocr-kgb-archive with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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