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:
- da12cbfd9a9382f60ff62cdaa1b0dfa41ecdc61dcedf23e316758c4a272ecf6f
- Size of remote file:
- 436 MB
- SHA256:
- 86592cace69a7de3e92e1086e0e7118efb547425449d8a48504463299656d55d
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