Instructions to use lmz/candle-quantized-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmz/candle-quantized-t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmz/candle-quantized-t5") model = AutoModelForSeq2SeqLM.from_pretrained("lmz/candle-quantized-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add xl variant (#3)
- Add xl variant (b73c421abf66672ced3df28368216071e321b1e1) Co-authored-by: BaYang <bayang@users.noreply.huggingface.co>05ea393
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initial commit
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