Transformers
PyTorch
JAX
English
t5
text2text-generation
qg
question
generation
SQuAD
metric
nlg
t5-small
text-generation-inference
Instructions to use ThomasNLG/t5-qg_squad1-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThomasNLG/t5-qg_squad1-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ThomasNLG/t5-qg_squad1-en") model = AutoModelForSeq2SeqLM.from_pretrained("ThomasNLG/t5-qg_squad1-en") - Notebooks
- Google Colab
- Kaggle
Commit ·
85d6eea
1
Parent(s): 2e8e115
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:16fd2380dba129b7b95e3e070a497ec58f469a773d101de0f4fa7a31da3873a0
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size 891539332
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