Instructions to use bltlab/queryner-augmented-data-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bltlab/queryner-augmented-data-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bltlab/queryner-augmented-data-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bltlab/queryner-augmented-data-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained("bltlab/queryner-augmented-data-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
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metrics:
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pipeline_tag: token-classification
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---
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# Model Card for Model ID
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metrics:
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- f1
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pipeline_tag: token-classification
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inference:
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parameters:
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aggregation_strategy: "first"
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# Model Card for Model ID
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