Instructions to use surdan/LaBSE_ner_nerel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surdan/LaBSE_ner_nerel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="surdan/LaBSE_ner_nerel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("surdan/LaBSE_ner_nerel") model = AutoModelForTokenClassification.from_pretrained("surdan/LaBSE_ner_nerel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
About model
This model based on cointegrated/LaBSE-en-ru.
And trained on surdan/nerel_short dataset
You can find more info:
- How the model was trained Train_model.ipynb
- Example of usage model Inference.ipynb
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