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
- Xet hash:
- a4d5d66c4f939cd065ab314d37c490a9bdfa528f1dd27ec51c3486f38237e4b1
- Size of remote file:
- 433 MB
- SHA256:
- ce454c675230c9669138c0194f1dd797e7db5822294bbd0b9fef5a7221a46eef
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