Instructions to use nandwalritik/t5_cpu_quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nandwalritik/t5_cpu_quantized with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nandwalritik/t5_cpu_quantized") model = AutoModelForSeq2SeqLM.from_pretrained("nandwalritik/t5_cpu_quantized") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97cc2168b64f80576a861fd3586dfb94ce074fe75ac28c56a807a8bd6ade7853
- Size of remote file:
- 150 MB
- SHA256:
- 2504822f941f674ba45538fe5001325acf6d4c863d5195f8c53cc14641438585
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