Instructions to use Aleksandar/bert-srb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aleksandar/bert-srb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aleksandar/bert-srb-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aleksandar/bert-srb-ner") model = AutoModelForTokenClassification.from_pretrained("Aleksandar/bert-srb-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a658b4297e266b09ed0c92f25309fffd456c3e5861231e86d66abc7bd9397c28
- Size of remote file:
- 431 MB
- SHA256:
- b79cffddee930f8c3389f33b87bee0d41808c6ce898b45bc8ef2c10596480d5a
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