Instructions to use NazzX1/LED-note-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NazzX1/LED-note-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NazzX1/LED-note-1") model = AutoModelForSeq2SeqLM.from_pretrained("NazzX1/LED-note-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 298606f25b645045d5250c183902ada53cf133e8ca9546eb4c5811ac77fde94b
- Size of remote file:
- 648 MB
- SHA256:
- 61710e1d030179c81e5cb7381dd19eafe8a7a62250ac6df849110216e1a6143c
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