Token Classification
Transformers
Safetensors
PyTorch
English
bert
ner
travel
trip-planning
fine-tuned
bio-tagging
custom-dataset
english
tripplan
lightweight
nlp
Instructions to use boltuix/RouteNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/RouteNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boltuix/RouteNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boltuix/RouteNER") model = AutoModelForTokenClassification.from_pretrained("boltuix/RouteNER") - Notebooks
- Google Colab
- Kaggle
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## 📬 Contact
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We’d love to hear from you! For questions, feedback, or collaboration opportunities:
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- 📧 Email:
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- 🌐 Website: [boltuix.com](https://boltuix.com)
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- 🐦 X: [@BoltUIX](https://x.com/BoltUIX)
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## 📬 Contact
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We’d love to hear from you! For questions, feedback, or collaboration opportunities:
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- 📧 Email: boltuix@gmail.com
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- 🌐 Website: [boltuix.com](https://boltuix.com)
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- 🐦 X: [@BoltUIX](https://x.com/BoltUIX)
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