Instructions to use scott156/LED-Base-NSPCC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scott156/LED-Base-NSPCC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("scott156/LED-Base-NSPCC") model = AutoModelForSeq2SeqLM.from_pretrained("scott156/LED-Base-NSPCC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 869498034adcbb2e0c5b8c597887f503f2e8f0bbc786bbba8ecba430023b0920
- Size of remote file:
- 648 MB
- SHA256:
- 37a4fa6368af37ac1d4901afef34ac68be646f8be859eed151b23b610206c353
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