Instructions to use versae/t5-8m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-8m-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-8m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-8m-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c31ee2d0c6387aba82c55b2da267a4ccee5bc9e33ed8496cd8ead105efa7b60e
- Size of remote file:
- 3.13 GB
- SHA256:
- 74eba40ebcc57c142cf32f85041318c738dd59614ce1fa4de5ef79d1cde5eb4e
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