Instructions to use versae/t5-9m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-9m-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-9m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-9m-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c6801b4965f1be241381a975017798d44c409f800c77e1302cf58d48dd2c97
- Size of remote file:
- 3.13 GB
- SHA256:
- 2514a7158efdfe3718095104736b92a557934fd4b21bf6f5ec5f902e7481cd34
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