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
| { | |
| "decoder_start_token_id": 20004, | |
| "bos_token_id": 0, | |
| "eos_token_id": 20005, | |
| "pad_token_id": 3, | |
| "max_length": 160, | |
| "max_new_tokens": null, | |
| "min_new_tokens": null, | |
| "num_beams": 1, | |
| "do_sample": false, | |
| "temperature": 1.0, | |
| "top_p": 1.0, | |
| "repetition_penalty": 1.15, | |
| "no_repeat_ngram_size": 3, | |
| "length_penalty": 1.0, | |
| "early_stopping": false, | |
| "bad_words_ids": [ | |
| [ | |
| 20004 | |
| ] | |
| ], | |
| "forced_bos_token_id": null, | |
| "forced_eos_token_id": null, | |
| "use_cache": false | |
| } |