Transformers
PyTorch
English
t5
text2text-generation
qa
Question Answering
text-generation-inference
Instructions to use Narrativa/byt5-base-finetuned-tweet-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narrativa/byt5-base-finetuned-tweet-qa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Narrativa/byt5-base-finetuned-tweet-qa") model = AutoModelForSeq2SeqLM.from_pretrained("Narrativa/byt5-base-finetuned-tweet-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab6bba9a14a4448ccf767554866b50f34e6a49ad97bb3bafcab47950619e4e57
- Size of remote file:
- 2.33 GB
- SHA256:
- 115eeec32646ea517f837e140129072a30260af33119d2293bcd7104924dab62
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