Instructions to use santyzenith/train_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use santyzenith/train_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("santyzenith/train_t5") model = AutoModelForSeq2SeqLM.from_pretrained("santyzenith/train_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0fb9feb0647feaec8489c1890a4a67559ee3cb4d3046a471cdb46b80b60dada
- Size of remote file:
- 4.22 kB
- SHA256:
- 0556d5551b42e83aa09d4217734e0aa6435ce3cb34ac5d2deae632b0a301afc4
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