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:
- a0e7647fe09551e70183db39244a109bf7b57a244633e69532935ab73a6770aa
- Size of remote file:
- 110 MB
- SHA256:
- 025fa92768cca732e1f00bd180e13a3e5b428c98ab944e1921fd353d3a04944a
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