Instructions to use nkn002/ctrlsum_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkn002/ctrlsum_bart_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nkn002/ctrlsum_bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("nkn002/ctrlsum_bart_base") - Notebooks
- Google Colab
- Kaggle
first
Browse files- pytorch_model.bin +3 -0
- tokenizer.json +0 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:26e9940ee2f2fbab6b09d2cb295d44aa1e699535c52ec2202a609b9d7f52e745
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size 557971229
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tokenizer.json
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