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
Quick Links
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Check out the documentation for more information.
This is a tiny random t5 model used for testing
See t5-make-very-small-model.py for how it was created.
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# 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")