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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Framework versions
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- Transformers 4.
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- Pytorch 1.11.0+cu102
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.11.0+cu102
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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