Transformers
PyTorch
Safetensors
English
t5
text2text-generation
qa
askscience
lfqa
information retrieval
text-generation-inference
Instructions to use pszemraj/t5-base-askscience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/t5-base-askscience with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/t5-base-askscience") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/t5-base-askscience") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a19e9b81d61dcdbcdf4f8607ac8ae0147c30d5fa9e2ca8ccff517bbe390d26f
- Size of remote file:
- 4.21 kB
- SHA256:
- df1af0ad4f858f10b902120d0714c6616a259dae4fa2107db0bcbcf49cb6e035
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