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:
- 6dcc4ba4ca8d72e5da95678128b5906601f9f8057ba8f051b944527b718fab78
- Size of remote file:
- 623 Bytes
- SHA256:
- 40698bd132dea0594abce82df2ee77ed9206bd0f1b5c528ec260f5092aaef7ea
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