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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c49ed278ce77f8c2f99fec850144dd15daeef1340b8bd08bcc6129bacb412e3d
- Size of remote file:
- 14.6 kB
- SHA256:
- a1e3f35db2ea82691debdfa5a14c5847118f2a40b9da96e6a0a8347de5beca27
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