Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
ocr
captcha
digits-captcha
synthetic-data
Instructions to use arkhabbazan/ocr-digits-captcha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arkhabbazan/ocr-digits-captcha 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="arkhabbazan/ocr-digits-captcha")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("arkhabbazan/ocr-digits-captcha") model = AutoModelForMultimodalLM.from_pretrained("arkhabbazan/ocr-digits-captcha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from arkhabbazan/ocr-digits-captcha: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/arkhabbazan/ocr-digits-captcha/resolve/main/tokenizer.json
- Command line
-
hf download hf://arkhabbazan/ocr-digits-captcha/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/arkhabbazan/ocr-digits-captcha/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.