Instructions to use smitz94/dialogsum_bart_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smitz94/dialogsum_bart_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smitz94/dialogsum_bart_large") model = AutoModelForSeq2SeqLM.from_pretrained("smitz94/dialogsum_bart_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bea94652d9a8efc74eb5366d33c62366381cb95f7c366c67ba4f3d0c86694b
- Size of remote file:
- 1.63 GB
- SHA256:
- 882da3d7c08200c8a575c94a63540872378ae244d0eb989e5231abc92157c535
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