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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yznlp/STRONG-LED-NoStructure") model = AutoModelForSeq2SeqLM.from_pretrained("yznlp/STRONG-LED-NoStructure", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.fb9a7ae
-
Update README.md
Verified signature582d7eb -
Update README.md
Verified signature1a1d80f
-
Update README.md
Verified signature3805bdd -
Upload 4 files
Verified signature98612d2 -
Upload 5 files
Verified signaturef58acba -
Upload optimizer.pt
Verified signature62896d5 -
Upload config.json
Verified signature79d5cc9 -
initial commit
Verified signaturec4cc567