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
- Xet hash:
- e8e91de4418f4456f3a8e0c661b1cc0b4e4d6e8f2716bb89e3d9c3ec7148a97d
- Size of remote file:
- 431 MB
- SHA256:
- 9a9d6c321307237599174e507ae3c23edbd913986c6341fe11ab482e81509b65
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