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
- Xet hash:
- d9fcaaef31d507e745d3c3407cdb6b5d577c9a61e0ca8cf04ad01c1ebcee612d
- Size of remote file:
- 709 MB
- SHA256:
- 3cd4cba56500ccfa567573e80a2b3fa8e443d7c7b9a43165c0224b364b9e77d1
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