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
| { | |
| "unicode_normalization": "NFC", | |
| "newline_normalization": "\\r\\n and \\r -> \\n", | |
| "special_token_cleanup": "tokenizer.batch_decode(skip_special_tokens=True) plus explicit string removal of tokenizer.all_special_tokens", | |
| "zero_width_removed": [ | |
| "\\u200b", | |
| "\\u200c", | |
| "\\u200d", | |
| "\\ufeff" | |
| ], | |
| "whitespace_normalization": "collapse horizontal spaces/tabs, trim around newlines, strip", | |
| "metric_newline_token": "<NL>" | |
| } |