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
- Xet hash:
- 062b2b0c9298e9e0dde2c3d1b83c7cb4d0befb676fa428598d6b823b343ef58b
- Size of remote file:
- 712 MB
- SHA256:
- 704cae7f5a414470870a28ad97508547a301c6955d337de977611c4b5fde6313
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