Transformers
PyTorch
Safetensors
English
t5
text2text-generation
qa
askscience
lfqa
information retrieval
text-generation-inference
Instructions to use pszemraj/t5-base-askscience-lfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/t5-base-askscience-lfqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/t5-base-askscience-lfqa") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/t5-base-askscience-lfqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3762d007b8ec0a4cb6fe090d5981767b7f0be24eea0af5fa546ab10dadd1dbe
- Size of remote file:
- 990 MB
- SHA256:
- 71296176cb7144f18bf1a0534ccc73d0bfd93822db9280c9848c7dc3d1bc8f57
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