Instructions to use Oscarshih/longT5-unit-SLUE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oscarshih/longT5-unit-SLUE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Oscarshih/longT5-unit-SLUE") model = AutoModelForSeq2SeqLM.from_pretrained("Oscarshih/longT5-unit-SLUE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Oscarshih/longT5-unit-SLUE: direct link, hf CLI and curl.
- Browser
- Download file 4.14 MB
-
https://huggingface.co/Oscarshih/longT5-unit-SLUE/resolve/main/tokenizer.json
- Command line
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hf download hf://Oscarshih/longT5-unit-SLUE/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Oscarshih/longT5-unit-SLUE/resolve/main/tokenizer.json
4.14 MB
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