Instructions to use stas/t5-very-small-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stas/t5-very-small-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stas/t5-very-small-random") model = AutoModelForSeq2SeqLM.from_pretrained("stas/t5-very-small-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cef03b6fac06c42a2d53576273c4da02c417b7dce32c200f4b27e002697e0c2
- Size of remote file:
- 5.64 MB
- SHA256:
- 8b1421cbd159cb293609a203e9b00a6cab15c4e2ca98ea4b91415da56d677a0d
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