Instructions to use yznlp/STRONG-LED-NoStructure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yznlp/STRONG-LED-NoStructure with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yznlp/STRONG-LED-NoStructure") model = AutoModelForSeq2SeqLM.from_pretrained("yznlp/STRONG-LED-NoStructure") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a7990c84b343656971c89f1c6df1c91918270781f8eec8ba785f80329868105
- Size of remote file:
- 1.29 GB
- SHA256:
- 6a8e6503c221af455974d8c31b41c41fdd4baab7d9cf35cba06e6ff6065a8738
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.