Instructions to use indobenchmark/indobart-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indobenchmark/indobart-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobart-v2") model = AutoModelForSeq2SeqLM.from_pretrained("indobenchmark/indobart-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe2eaa319d99aea45a73cea13eb348cd22a26a83e7795bdd09ffa6c122ba0cc
- Size of remote file:
- 526 MB
- SHA256:
- fcad41224c62bf420b9a03dc573fb01fcf73318c1799284b9a65f5e8a5810463
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