Instructions to use tannonk/bart_mini-SI_bart-s23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-SI_bart-s23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-SI_bart-s23") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-SI_bart-s23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e6194db2463bc96a6c8d917fefd2a3005babb1d8a6d44fadebb68c0fdbf9e13
- Size of remote file:
- 4.08 MB
- SHA256:
- 96697bc3b1c8dc5f02ae826b5461a2ddfc958c60ccc516dfe4563b7bf4ff1d71
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