Instructions to use Lizrek/bert-base-mountain-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lizrek/bert-base-mountain-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lizrek/bert-base-mountain-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lizrek/bert-base-mountain-NER") model = AutoModelForTokenClassification.from_pretrained("Lizrek/bert-base-mountain-NER") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Dataset
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The model was trained using approximately
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## How to Use
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## Dataset
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The model was trained using approximately 115 samples generated specifically for mountain name recognition. These samples were created with the assistance of ChatGPT, focusing on realistic use cases for mountain-related content in the NER format.
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## How to Use
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