Instructions to use PrathameshPawar/sci_summary_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrathameshPawar/sci_summary_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PrathameshPawar/sci_summary_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PrathameshPawar/sci_summary_2") model = AutoModelForMaskedLM.from_pretrained("PrathameshPawar/sci_summary_2") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 2bf7a09
Create tokenizer_config.json
Browse files- tokenizer_config.json +3 -0
tokenizer_config.json
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{
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"do_lower_case": true
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}
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