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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c008952674243eced589c18ca7ca763def5389c2f26d39ff0ef39eb3046f7356
- Size of remote file:
- 14.6 kB
- SHA256:
- ff069147b31b135b0c6995b16aa314a75f3cc8b7d9876c3f49784a39bac81e99
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