geolm-base-cased / README.md
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---
license: cc-by-nc-2.0
---
# Model Card for GeoLM
<!-- Provide a quick summary of what the model is/does. -->
GeoLM is a language model based on BERT that facilitates **geospatial understanding** in NL documents. It can take either NL sentences or linearized geographical region as input. The customized geocoordinate embedding module enables it to encode geographic coordinates efficiently. It is pretrained on world-wide OpenStreetMap (OSM), WikiData and Wikipedia data, and can be adapted to various geospatial related downstream tasks such as **toponym recognition** and **toponym linking**.
* Model fine-tuned for toponym recognition: https://huggingface.co/zekun-li/geolm-base-toponym-recognition
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Knowledge Computing Lab, UMN
- **Shared by:** Zekun Li
- **License:** CC-by-NC 2.0
- **Finetuned from model:** https://huggingface.co/bert-base-cased
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/knowledge-computing/geolm
- **Paper:** http://arxiv.org/abs/2310.14478
## Uses
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### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
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[More Information Needed]
## Bias, Risks, and Limitations
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[More Information Needed]
### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
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### Training Procedure
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#### Preprocessing [optional]
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#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
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## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
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[More Information Needed]
#### Factors
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#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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### Results
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#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
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## Technical Specifications [optional]
### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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