Instructions to use microsoft/prophetnet-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/prophetnet-large-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/prophetnet-large-uncased") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/prophetnet-large-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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- Adding `safetensors` variant of this model (2a3eff1ed3ca8dbdd46f5e57b9742fb73009c7a5) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c5b84da
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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/microsoft/prophetnet-large-uncased/README.mdb8aa2a3
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