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:
# 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
- Xet hash:
- 4b2464cfb7d89f96fdcc56da6d2eda23dc347e2551fa6025f091207d545a07ef
- Size of remote file:
- 648 MB
- SHA256:
- 8a52a6828029e61a90f1950db423ec4dc93c6206f3e6ac2e0f5e8ce4310da69d
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