Instructions to use mayapapaya/Keyword-Extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mayapapaya/Keyword-Extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mayapapaya/Keyword-Extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mayapapaya/Keyword-Extractor") model = AutoModelForSequenceClassification.from_pretrained("mayapapaya/Keyword-Extractor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 581fb69ca1ac6937dfc723e07cf0fdfb0662e84ea9e3dd317f6320eded3461cf
- Size of remote file:
- 268 MB
- SHA256:
- d4dab8daa167a979878afebfa1b022d12af923fd7efc2e8e58a6c1f04362a0e7
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