Transformers
Safetensors
t5
text2text-generation
document-parsing
lhdn
ebc
text-generation-inference
Instructions to use acceler-technology/dev-lhdn-parse-t5-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-t5-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acceler-technology/dev-lhdn-parse-t5-model") model = AutoModelForSeq2SeqLM.from_pretrained("acceler-technology/dev-lhdn-parse-t5-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- generation_config.json +0 -1
- model.safetensors +1 -1
generation_config.json
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model.safetensors
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