Instructions to use auhide/keybert-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auhide/keybert-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="auhide/keybert-bg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("auhide/keybert-bg") model = AutoModelForTokenClassification.from_pretrained("auhide/keybert-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# 🇧🇬 KeyBERT - Bulgarian Keyword Extraction
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KeyBERT-BG is a model trained for keyword extraction in Bulgarian.
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The used dataset is [this](https://www.kaggle.com/datasets/auhide/bulgarian-articles-with-keywords) custom one, which I've uploaded to Kaggle.
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# 🇧🇬 KeyBERT-BG - Bulgarian Keyword Extraction
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KeyBERT-BG is a model trained for keyword extraction in Bulgarian.
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The used dataset is [this](https://www.kaggle.com/datasets/auhide/bulgarian-articles-with-keywords) custom one, which I've uploaded to Kaggle.
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