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:
- f28a8a1e26e884807739810723c06b945d22447a8994e916b49f0029b0a99b1e
- Size of remote file:
- 14.6 kB
- SHA256:
- a8d84e0bc011a36ae5757d739902efe6c9d766a68c7638fe08409590bcff8b57
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