Instructions to use ACEEE1222/bart-large-chinese-LCSTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ACEEE1222/bart-large-chinese-LCSTS with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("fnlp/bart-large-chinese") model = PeftModel.from_pretrained(base_model, "ACEEE1222/bart-large-chinese-LCSTS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75f96db69460d74e51301d377bd0ebd887b196167c61a96e7d6faa73a61370de
- Size of remote file:
- 5.24 kB
- SHA256:
- 6edd56cf3664833ad7f72b79d1a2438b9d330e6f161ed48193b80e99d9c28114
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.