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
File size: 451 Bytes
29e25c8 1d87586 29e25c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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>"
]
} |