Image-to-Text
Transformers
ONNX
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
ocr
captcha
math-captcha
synthetic-data
Instructions to use arkhabbazan/ocr-math-captcha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arkhabbazan/ocr-math-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-math-captcha")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("arkhabbazan/ocr-math-captcha") model = AutoModelForMultimodalLM.from_pretrained("arkhabbazan/ocr-math-captcha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
10c8e5e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a0f56392c2eefbf7116a98bf95bcbc3d33457fc5ffd999733c93cca02de978e0
size 88011399
|