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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-7m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-7m-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fda34bf2a5d532e9be3067b5d365c73e17b0a874a08d970e8f5e56ee41201f3a
- Size of remote file:
- 3.13 GB
- SHA256:
- 43b9a2ff1aced0cb288d96726e3c5c91636a8390594ad05ae98dcfb3c2d1efd3
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