Instructions to use midas/gupshup_h2e_pegasus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use midas/gupshup_h2e_pegasus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("midas/gupshup_h2e_pegasus") model = AutoModelForSeq2SeqLM.from_pretrained("midas/gupshup_h2e_pegasus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 801c9fbe14f05c27225b1fcc0e56d226d9f36846ca409590c5b385da0e5a6541
- Size of remote file:
- 2.28 GB
- SHA256:
- 0505171e518f33a5cae65852cb964a287b906993f114c85c28f3ecb16a88493b
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