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
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parameters:
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max_length: 64
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no_repeat_ngram_size: 2
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encoder_no_repeat_ngram_size:
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repetition_penalty: 3.51
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length_penalty: 0.8
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num_beams: 4
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parameters:
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max_length: 64
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no_repeat_ngram_size: 2
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encoder_no_repeat_ngram_size: 4
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repetition_penalty: 3.51
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length_penalty: 0.8
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num_beams: 4
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