Instructions to use tiagoblima/punctuation-tedtalk2012-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/punctuation-tedtalk2012-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tiagoblima/punctuation-tedtalk2012-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tiagoblima/punctuation-tedtalk2012-bert-base") model = AutoModelForTokenClassification.from_pretrained("tiagoblima/punctuation-tedtalk2012-bert-base") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: punctuation-tedtalk2012-bert-base
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results: []
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license: mit
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tags:
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- generated_from_trainer
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base_model: neuralmind/bert-base-portuguese-cased
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model-index:
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- name: punctuation-tedtalk2012-bert-base
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results: []
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