Instructions to use NazzX1/LED-dialog-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NazzX1/LED-dialog-sum with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/DialogLED-base-16384") model = PeftModel.from_pretrained(base_model, "NazzX1/LED-dialog-sum") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NazzX1/LED-dialog-sum: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/NazzX1/LED-dialog-sum/resolve/main/training_args.bin
- Command line
-
hf download hf://NazzX1/LED-dialog-sum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NazzX1/LED-dialog-sum/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 1789a250b52644b9d70ca3e7f9de940d903c5497ad5fe027474b2ddf1b5bb481
- Size of remote file:
- 5.5 kB
- SHA256:
- 8dabbfc4644c6eb10084551a8d37bf32daeb965ee4fa7fe577aa3eeaee43b9c2
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