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
Download tokenizer.json from acceler-technology/dev-lhdn-parse-t5-model: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/acceler-technology/dev-lhdn-parse-t5-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://acceler-technology/dev-lhdn-parse-t5-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/acceler-technology/dev-lhdn-parse-t5-model/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.