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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6125ee090cd5b8e2859efa628aa452c59bcda9342184bdb4cae2acb701974dc
- Size of remote file:
- 4.21 kB
- SHA256:
- 0f7d4a138032663ec751b249c00b14ae6d7b51b0f0ff193b363e1b68b69cb66a
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