Instructions to use MrBananaHuman/klue_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrBananaHuman/klue_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MrBananaHuman/klue_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MrBananaHuman/klue_ner") model = AutoModelForTokenClassification.from_pretrained("MrBananaHuman/klue_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d6bf129782d249d6486e56f30f6a6be63c366964bfd344adc2562cb357e4375
- Size of remote file:
- 440 MB
- SHA256:
- 28007a8b5ca87acda4361cb6c51b611ced023fb3862902a81e9725220a8e2494
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