Instructions to use ad6398/gupshup_e2e_pegasus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ad6398/gupshup_e2e_pegasus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ad6398/gupshup_e2e_pegasus") model = AutoModelForSeq2SeqLM.from_pretrained("ad6398/gupshup_e2e_pegasus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdf0c4c749280b6c59c7f51408dcf1acd710048127b6b251553872f7086e6f59
- Size of remote file:
- 2.04 GB
- SHA256:
- ce6062e503cd5d0b6db245cf327fabf1da003feea0a2654947ec126badd4f145
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