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:
- bfd9089aacc1ab2ec97d8cf4b4e1aaa9aae9f41d579c2947d93ad2bce6f00587
- Size of remote file:
- 14.6 kB
- SHA256:
- d29769d2fb5eac0e0b159acf9f464cb6b1a820491ea240c02a6a7d88b0300479
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