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:
- 945bc528e177ed4d0bcbc5b2dc1336f84742920e51e77d7b6cc751889444407b
- Size of remote file:
- 2.8 kB
- SHA256:
- 13a0bb99a0e4d0705e5aee57c636fe4141c6c345420d252c503dc06d477870eb
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