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
Commit ·
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Parent(s): f3b5699
Update config.json
Browse files- config.json +1 -0
config.json
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"length_penalty": 2.0,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"max_length": 142,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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