Summarization
Transformers
PyTorch
Indonesian
encoder-decoder
text2text-generation
pipeline:summarization
bert2bert
Instructions to use cahya/bert2bert-indonesian-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bert2bert-indonesian-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="cahya/bert2bert-indonesian-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cahya/bert2bert-indonesian-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("cahya/bert2bert-indonesian-summarization") - Notebooks
- Google Colab
- Kaggle
Commit History
updated the generator to use temperature and sample 2be9212
updated the readme e346883
trained another 12 epochs 10b22bf
Cahya Wirawan commited on
fixecd the tokenizers and vocab file 163eb96
Cahya Wirawan commited on