Instructions to use vitus9988/klue-roberta-small-ner-identified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vitus9988/klue-roberta-small-ner-identified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vitus9988/klue-roberta-small-ner-identified")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vitus9988/klue-roberta-small-ner-identified") model = AutoModelForTokenClassification.from_pretrained("vitus9988/klue-roberta-small-ner-identified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d244ddb2f8e7d870a3ef534b4e907dc40d893550a035efbbabbf1b9099f928f1
- Size of remote file:
- 4.98 kB
- SHA256:
- b04f1f55d202333f6f022fdd48dd08cf88cde161114b5e5c4a3fca8675fec1dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.