Instructions to use marksverdhei/t5-base-define with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marksverdhei/t5-base-define with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("marksverdhei/t5-base-define") model = AutoModelForSeq2SeqLM.from_pretrained("marksverdhei/t5-base-define", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c67df2cbfea54b8cc81eaed1c9fca3c7faac2b06502a21c006b2b50fa52b7b45
- Size of remote file:
- 1.78 GB
- SHA256:
- ee0a36760ed8b6eacee176aa9c7538bc5927bb95219824db24682ffb6f2b88ef
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