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:
- 3b199c64b7f351e6f6c5363c8e50c541c6376cbadaa2194c875e8c48e216e15e
- Size of remote file:
- 648 MB
- SHA256:
- cf52e3b813adbc3fc348f781744cf6e315196847ddc20d3e9864487a4243bee2
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