Instructions to use ltg/norbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltg/norbert") model = AutoModelForMaskedLM.from_pretrained("ltg/norbert") - Notebooks
- Google Colab
- Kaggle
Andrey Kutuzov commited on
Commit ·
acc64ce
1
Parent(s): 4a0ae9c
Discarded basic tokenization to better fit our vocabulary
Browse files- tokenizer_config.json +2 -1
tokenizer_config.json
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{
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"do_lower_case": false
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}
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{
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"do_lower_case": false,
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"do_basic_tokenize": false
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}
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