Instructions to use google/t5-xxl-ssm-wqo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-xxl-ssm-wqo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-xxl-ssm-wqo") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-xxl-ssm-wqo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 656ad1b9a624348e1c3344ac4a6b8fb680b0b97a5dd660d3c63c4539a03ae3f6
- Size of remote file:
- 44.5 GB
- SHA256:
- 4282047528f55854d0e9d414a497ea41787409accac7f3041558b4c105bad435
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