Instructions to use versae/t5-6m-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/t5-6m-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/t5-6m-large") model = AutoModelForSeq2SeqLM.from_pretrained("versae/t5-6m-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddf7171782cd3e05ed86608234ce8eb899a58387b35fd36599fa5be9c2355283
- Size of remote file:
- 3.13 GB
- SHA256:
- d61d6aa7627f40ce4f8ea7ce5577093903ced2fac68fb3756063ef872e9d01fa
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