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") - Notebooks
- Google Colab
- Kaggle
Adds tokenizer_config.json file
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "mask_token": "[MASK]", "x_sep_token": "[X_SEP]", "model_max_length": 512}
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "mask_token": "[MASK]", "x_sep_token": "[X_SEP]", "model_max_length": 512, "do_lower_case": true}
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