Instructions to use LemiSt/code-segmentor-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LemiSt/code-segmentor-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LemiSt/code-segmentor-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LemiSt/code-segmentor-distilbert") model = AutoModelForTokenClassification.from_pretrained("LemiSt/code-segmentor-distilbert") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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The following is a bubble sort implementation taken from TeamTest57/Whack-A-Mole on github.
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license: apache-2.0
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- Token Classification
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The following is a bubble sort implementation taken from TeamTest57/Whack-A-Mole on github.
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