Instructions to use microsoft/prophetnet-large-uncased-squad-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/prophetnet-large-uncased-squad-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/prophetnet-large-uncased-squad-qg") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/prophetnet-large-uncased-squad-qg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08fdce0a4405f198e4645f707d8883c86bd292c588592e186ec1df8eef779c60
- Size of remote file:
- 1.57 GB
- SHA256:
- 2800b560ddda99227513920a464c00c314c0934e5dccfd0e8a103abcca263e8f
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