Instructions to use UKP-SQuARE/Extractive_MetaQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UKP-SQuARE/Extractive_MetaQA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("UKP-SQuARE/Extractive_MetaQA") model = AutoModel.from_pretrained("UKP-SQuARE/Extractive_MetaQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94da07733cce52269a890da3e96a7cd930a9effbd3e0962e015cb3767213b915
- Size of remote file:
- 439 MB
- SHA256:
- 1b7dbf57d441aa7cdbb88633541c6908e8e64f16e5d17ec34d1f4b48a0369623
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