Instructions to use HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0") model = AutoModelForTokenClassification.from_pretrained("HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0") - Notebooks
- Google Colab
- Kaggle
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