Question Answering
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
text-generation-inference
Instructions to use mrm8488/t5-base-finetuned-quartz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/t5-base-finetuned-quartz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/t5-base-finetuned-quartz")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-quartz") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-quartz") - Notebooks
- Google Colab
- Kaggle
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