Transformers
PyTorch
TensorFlow
English
t5
text2text-generation
Generative Question Answering
text-generation-inference
Instructions to use MaRiOrOsSi/t5-base-finetuned-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaRiOrOsSi/t5-base-finetuned-question-answering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MaRiOrOsSi/t5-base-finetuned-question-answering") model = AutoModelForSeq2SeqLM.from_pretrained("MaRiOrOsSi/t5-base-finetuned-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5445027881f79e326b0c5410b8d8ac5eb7a20c4bde401497391fee9e2cd37cf6
- Size of remote file:
- 892 MB
- SHA256:
- d5b676ab54fcba127d03423a3f22e3acedb83be83f8323989d0cd9d4d045b780
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