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:
# 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
- Xet hash:
- af2b3e7c6a6c2b66b4bd81bc913fa3c6cdee3d4c6c612f47c2855333569b7c7c
- Size of remote file:
- 1.94 GB
- SHA256:
- fd416c555453c430a02e16128b67c816cbbc5330128e6812dea76fa490ce5963
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