Instructions to use codegood/T5Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codegood/T5Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("codegood/T5Base") model = AutoModelForSeq2SeqLM.from_pretrained("codegood/T5Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d5863f2cbead48922311bbffffca5a47a463c66113d83fabe4b79ba5774bb12
- Size of remote file:
- 571 MB
- SHA256:
- fbfee2747fa6f61b53f4e89cb7785af54f3fb3e4f257ea66a8b00b20d3e35024
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