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
Commit ·
1845f20
1
Parent(s): 8b80762
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (2817a80bcc6d4668eb3b09e03042e5e80ea241e0)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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