Instructions to use k4tel/bert-multilingial-geolocation-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4tel/bert-multilingial-geolocation-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="k4tel/bert-multilingial-geolocation-prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("k4tel/bert-multilingial-geolocation-prediction") model = AutoModelForMaskedLM.from_pretrained("k4tel/bert-multilingial-geolocation-prediction") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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# bert-multilingial-geolocation-prediction
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This model is a fine-tuned version of [
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## Model description
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# bert-multilingial-geolocation-prediction
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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