Image-to-Text
Transformers
Safetensors
Tibetan
vision-encoder-decoder
image-text-to-text
ocr
tibetan
document-ai
trocr
Instructions to use TibetanCodexAITeam/PechaBridgeOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TibetanCodexAITeam/PechaBridgeOCR 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="TibetanCodexAITeam/PechaBridgeOCR")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("TibetanCodexAITeam/PechaBridgeOCR") model = AutoModelForMultimodalLM.from_pretrained("TibetanCodexAITeam/PechaBridgeOCR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "SentencePieceTokenizerAdapter", | |
| "source_tokenizer_dir": "/home/nico/Code/PechaBridge/ext/BoSentencePiece", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "unk_token": "<unk>", | |
| "pad_token": "<pad>", | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "cls_token": "[CLS]", | |
| "sep_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| "additional_special_tokens": [ | |
| "<NL>", | |
| "<s_ocr>", | |
| "</s_ocr>", | |
| "<s_cls1>" | |
| ] | |
| } |