Instructions to use pascalrai/large-BERT-NER-email with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pascalrai/large-BERT-NER-email with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pascalrai/large-BERT-NER-email")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pascalrai/large-BERT-NER-email") model = AutoModelForTokenClassification.from_pretrained("pascalrai/large-BERT-NER-email") - Notebooks
- Google Colab
- Kaggle
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1. Clean data to a good enough format as much as possible.
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2. Increase the data as much as possible. (Make sure to have data that is seen in real use cases.)
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3. Ponder: Is it possible to use sth like Grammarly to clean the sentences such that proper nouns are Capital and the grammer is correct such that a pattern is formed?
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1. Clean data to a good enough format as much as possible.
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2. Increase the data as much as possible. (Make sure to have data that is seen in real use cases.)
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3. Ponder: Is it possible to use sth like Grammarly to clean the sentences before tokenization such that proper nouns are Capital and the grammer is correct such that a pattern is formed?
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