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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d0eec1376ce33de86a160ac0e3f2e708edc2cc49806ab0146ad929c9cc99132
- Size of remote file:
- 990 MB
- SHA256:
- ef2dbe61cc2f938856e7a8ffd5fab2f936d29c79ca55f0c9a3e9fa5179e574dd
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