Instructions to use Vailla-Rohit/bart-base-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vailla-Rohit/bart-base-finetuned-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vailla-Rohit/bart-base-finetuned-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("Vailla-Rohit/bart-base-finetuned-samsum") - 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:b1fea5c6fb33c0d83c313d12afc1752ae75ea8566c40007b2aa0537bfc87e63f
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size 557912964
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