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: 500 Bytes
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"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
} |