Instructions to use Alfahluzi/indobert-summarization-bert2bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfahluzi/indobert-summarization-bert2bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alfahluzi/indobert-summarization-bert2bert") model = AutoModelForSeq2SeqLM.from_pretrained("Alfahluzi/indobert-summarization-bert2bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Alfahluzi/indobert-summarization-bert2bert: direct link, hf CLI and curl.
- Browser
- Download file 737 kB
-
https://huggingface.co/Alfahluzi/indobert-summarization-bert2bert/resolve/main/tokenizer.json
- Command line
-
hf download hf://Alfahluzi/indobert-summarization-bert2bert/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Alfahluzi/indobert-summarization-bert2bert/resolve/main/tokenizer.json
737 kB
File too large to display, you can check the raw version instead.