Instructions to use roberthsu2003/models_for_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roberthsu2003/models_for_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roberthsu2003/models_for_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roberthsu2003/models_for_ner") model = AutoModelForTokenClassification.from_pretrained("roberthsu2003/models_for_ner") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### 使用方法(pipline的方法)
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```python
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ner_pipe = pipeline("token-classification", model='roberthsu2003/models_for_ner',aggregation_strategy="simple")
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inputs = "徐國堂在台北上班"
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res = ner_pipe(inputs)
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### 使用方法(pipline的方法)
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```python
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from transformers import pipeline
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ner_pipe = pipeline("token-classification", model='roberthsu2003/models_for_ner',aggregation_strategy="simple")
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inputs = "徐國堂在台北上班"
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res = ner_pipe(inputs)
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