Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
donut
document-parsing
lhdn
ebc
Instructions to use acceler-technology/dev-lhdn-parse-donut-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acceler-technology/dev-lhdn-parse-donut-model 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="acceler-technology/dev-lhdn-parse-donut-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("acceler-technology/dev-lhdn-parse-donut-model") model = AutoModelForMultimodalLM.from_pretrained("acceler-technology/dev-lhdn-parse-donut-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Robust set training 2 (3 Epoch)
Browse files- preprocessor_config.json +4 -4
- special_tokens_map.json +4 -4
- tokenizer.json +0 -0
- tokenizer_config.json +2 -9
preprocessor_config.json
CHANGED
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@@ -19,8 +19,8 @@
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"processor_class": "DonutProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size":
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}
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"processor_class": "DonutProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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+
"size": [
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1800,
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1350
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]
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}
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special_tokens_map.json
CHANGED
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized":
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized":
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized":
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized":
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"rstrip": false,
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"single_word": false
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},
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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tokenizer.json
CHANGED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special":
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},
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"1": {
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"content": "<pad>",
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special":
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},
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"3": {
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"content": "<unk>",
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"max_length": 1000,
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"model_max_length": 1000000000000000019884624838656,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"processor_class": "DonutProcessor",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"stride": 0,
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"tokenizer_class": "XLMRobertaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"1": {
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"content": "<pad>",
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"3": {
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"content": "<unk>",
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"processor_class": "DonutProcessor",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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