Instructions to use rooftopcoder/led-base-16384-reddit-tifu-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/led-base-16384-reddit-tifu-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/led-base-16384-reddit-tifu-test") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/led-base-16384-reddit-tifu-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (8b2a7733bb0027398d6d9de54215fb11ddd09080) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>5eff8b5
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update model card README.md
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End of training
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initial commit
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