Instructions to use versae/t5-7m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-7m-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-7m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-7m-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (0eaf178eb3d9434d4c438dc63568cedd74b90cad) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e5ad588
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7M large
88c78f3 -
initial commit
ddb9508