Instructions to use dotslashderek/flan-t5-small-compression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dotslashderek/flan-t5-small-compression with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dotslashderek/flan-t5-small-compression") model = AutoModelForSeq2SeqLM.from_pretrained("dotslashderek/flan-t5-small-compression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42e2046b2ddde86f621a34186b4c50e9be72d4b0ce9ed2f16ad8af510cbb1696
- Size of remote file:
- 5.75 kB
- SHA256:
- f69853457e9c7f766c33cb6572ae7a83647dd580e9309b65ed7e66e400b44226
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