Instructions to use yznlp/STRONG-LED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yznlp/STRONG-LED with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yznlp/STRONG-LED") model = AutoModelForSeq2SeqLM.from_pretrained("yznlp/STRONG-LED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (cc209e66673be4d64daaf76546ce0c89267f1e77) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>1ae42f7
-
Update README.md
Verified signature0c5d27a -
Update README.md
Verified signature03af57a
-
Update README.md
Verified signature3a6393f -
Upload 7 files
Verified signature3b8052a -
initial commit
Verified signature5ff8166