Image-to-Text
Transformers
Safetensors
Spanish
Zapotec
vision-encoder-decoder
image-text-to-text
handwritten-text-recognition
htr
ocr
trocr
colonial-zapotec
manuscripts
Eval Results (legacy)
Instructions to use maclenn77/ticha-trocr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maclenn77/ticha-trocr-base 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="maclenn77/ticha-trocr-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("maclenn77/ticha-trocr-base") model = AutoModelForMultimodalLM.from_pretrained("maclenn77/ticha-trocr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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