Instructions to use almaghrabima/ner_column_bert-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almaghrabima/ner_column_bert-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almaghrabima/ner_column_bert-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almaghrabima/ner_column_bert-base-NER") model = AutoModelForTokenClassification.from_pretrained("almaghrabima/ner_column_bert-base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: ner_column_bert-base-NER
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.30.2
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- Pytorch 1.13.1+cu116
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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model-index:
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- name: ner_column_bert-base-NER
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.30.2
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- Pytorch 1.13.1+cu116
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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