Token Classification
Transformers
PyTorch
Safetensors
English
bert
toponym detection
language model
geospatial understanding
geolm
Instructions to use knowledge-computing/geolm-base-toponym-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledge-computing/geolm-base-toponym-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="knowledge-computing/geolm-base-toponym-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("knowledge-computing/geolm-base-toponym-recognition") model = AutoModelForTokenClassification.from_pretrained("knowledge-computing/geolm-base-toponym-recognition") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -46,7 +46,7 @@ Pretrain the GeoLM model on world-wide OpenStreetMap (OSM), WikiData and Wikiped
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- **Model type:** Language model for geospatial understanding
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- **Language(s) (NLP):** en
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- **License:** cc-by-nc-2.0
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- **Parent Model:** https://huggingface.co/
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- **Resources for more information:** Zekun Li (li002666[Shift+2]umn.edu)
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- **Model type:** Language model for geospatial understanding
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- **Language(s) (NLP):** en
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- **License:** cc-by-nc-2.0
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- **Parent Model:** https://huggingface.co/zekun-li/geolm-base-cased
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- **Resources for more information:** Zekun Li (li002666[Shift+2]umn.edu)
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