Instructions to use Aktsvigun/bart-base_xsum_919213 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_919213 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_919213") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_919213") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01df9eadb5835ccf78acac2ac958d62c6c6802f1798d75c70055bfe87ba516f3
- Size of remote file:
- 558 MB
- SHA256:
- ee292d2be4f4fde5a5bcee4cc704d39328f5f319776716ded87add35e5f9cd21
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