Transformers
PyTorch
t5
text2text-generation
question-generation
question-answer mining
text-generation-inference
Instructions to use jian-mo/E2E-QA-Mining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jian-mo/E2E-QA-Mining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jian-mo/E2E-QA-Mining") model = AutoModelForSeq2SeqLM.from_pretrained("jian-mo/E2E-QA-Mining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa8bae80a3e98a271ab6e87a4eb2f4e9c82fd8fd9fb3d67d0dced3211ef2501
- Size of remote file:
- 1.33 kB
- SHA256:
- bc7b49b95b0ebd41b71e9b6e191520487cad4f133dd80ed73363de916a96545f
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