Instructions to use Kamesh22/bart-base-News_Summarization_CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kamesh22/bart-base-News_Summarization_CNN with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Kamesh22/bart-base-News_Summarization_CNN") model = AutoModelForSeq2SeqLM.from_pretrained("Kamesh22/bart-base-News_Summarization_CNN") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eeb26e8563df92cc4f6fdf1fed3d1b19d955b82e73fbd2f8720c35df80176d53
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size 557912616
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