Instructions to use MingZhong/DialogLED-large-5120 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingZhong/DialogLED-large-5120 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MingZhong/DialogLED-large-5120") model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/DialogLED-large-5120") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d43ed013317501f8eb4d87247b6a71d9a4475db37af2c98e1097664bb0d8e1e8
- Size of remote file:
- 2.8 kB
- SHA256:
- 7bdd0064f3d2a01f0f02ecc012e33d97c908284e8324f5bf9c0489dd0d516a6a
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