Instructions to use Aleksandar/electra-srb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleksandar/electra-srb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aleksandar/electra-srb-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aleksandar/electra-srb-ner") model = AutoModelForTokenClassification.from_pretrained("Aleksandar/electra-srb-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 386ede8b5eb1ff953890b950c0309dcffb6420ad12a8814f1b86bf11aac6f221
- Size of remote file:
- 2.67 kB
- SHA256:
- 128fb9fd2730730652ec5f5172eb8b404c12bfe8727a602e88dd79e5b74c32bb
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