Instructions to use Aktsvigun/bart-base_xsum_42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_xsum_42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_xsum_42") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_xsum_42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b99152ed96abecc1cffe522482e45b899c3ae3a924ade6281f515d42d09645a
- Size of remote file:
- 558 MB
- SHA256:
- 607fbcfd692d5ad1ea5830a74fee2cc15029a0e500ff3a5efcc1d9efd1c2323a
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