Instructions to use Junlaii/bart_4acticle_abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Junlaii/bart_4acticle_abstract with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Junlaii/bart_4acticle_abstract") model = AutoModelForSeq2SeqLM.from_pretrained("Junlaii/bart_4acticle_abstract") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a3a4add8f1fccc7e452b893c8399355f4342b50533b66d869a132a27d2aa104
- Size of remote file:
- 1.63 GB
- SHA256:
- dda1068890b2e54a98369501ceebbed19edfe184a45581c1ecd228e3f224a4bf
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