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:
- b256f8141c4fb137090dda72029a67fafa672be9150cf4f82727184da167173e
- Size of remote file:
- 1.84 GB
- SHA256:
- d29393295cd9b6a0820ea0bb3ce16e6364d6a592af89e5aba76c0922863b1237
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