Instructions to use codegood/T5Base_YU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codegood/T5Base_YU with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("codegood/T5Base_YU") model = AutoModelForSeq2SeqLM.from_pretrained("codegood/T5Base_YU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0c1451e8710f51f008d5ad7f44870a699db99f611de9fbfc3c2e7ee496bed97
- Size of remote file:
- 571 MB
- SHA256:
- 1b2e8aa02f9dcaf3ea5b4d5d5d088609520ce2513a23d86a48a375abf5aa66f0
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