Instructions to use NazzX1/LED-note-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NazzX1/LED-note-modified with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NazzX1/LED-note-modified") model = AutoModelForSeq2SeqLM.from_pretrained("NazzX1/LED-note-modified") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5afab843411bf36f59415427d5988aa7744ff4dd2e540e4db6c9cd1669af9a89
- Size of remote file:
- 648 MB
- SHA256:
- eb166b3d0c7f81bea0d152c6284eae66faae830e168a333fed4a5e4d84ce82ea
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