Instructions to use knowledge-computing/geolm-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledge-computing/geolm-base-cased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("knowledge-computing/geolm-base-cased") model = AutoModel.from_pretrained("knowledge-computing/geolm-base-cased") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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{
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"architectures": [
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"GeoLMModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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