Instructions to use MingZhong/DialogLED-base-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingZhong/DialogLED-base-16384 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MingZhong/DialogLED-base-16384") model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/DialogLED-base-16384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5651cc81446c5a866f9038de9c2a60f979d0accabec2732421d4de4ca0c89bc8
- Size of remote file:
- 1.21 GB
- SHA256:
- 5d4670da84d2dd58d4d2e86bd71715036b183a3f4c84cd1c60deb4cac1e1835c
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