Instructions to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tesemnikov-av/NER-RUBERT-Per-Loc-Org with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tesemnikov-av/NER-RUBERT-Per-Loc-Org")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org") model = AutoModelForTokenClassification.from_pretrained("tesemnikov-av/NER-RUBERT-Per-Loc-Org") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3688256a18eec35199705120232a4f932d07e2f1299c361c90e31d34709f1b3f
- Size of remote file:
- 46.8 MB
- SHA256:
- 7a6247db6fce63be739af871d100b18bd181147138179f72de41f8433ff303df
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