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: 658 Bytes
1ecee73 10c8e5e 1ecee73 10c8e5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"cls_token": "<s>",
"eos_token": "</s>",
"errors": "replace",
"is_local": false,
"local_files_only": false,
"mask_token": "<mask>",
"max_length": 128,
"model_max_length": 512,
"pad_to_multiple_of": null,
"pad_token": "<pad>",
"pad_token_type_id": 0,
"padding_side": "right",
"processor_class": "TrOCRProcessor",
"sep_token": "</s>",
"stride": 0,
"tokenizer_class": "RobertaTokenizer",
"trim_offsets": true,
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": "<unk>"
} |