Instructions to use k4tel/bert-geolocation-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4tel/bert-geolocation-prediction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import BertGeoRegressor model = BertGeoRegressor.from_pretrained("k4tel/bert-geolocation-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.b821fac
-
update model card README.md
f52a5dd -
fe
64f78fb -
Update README.md
50f8a1b -
fe
619c708 -
update model card README.md
3afade0 -
Model save
1014071 -
Update README.md
8d5f559 -
pipeline
6b5e3dd -
update model card README.md
3d6f284 -
Model save
e36df8d -
initial commit
5eb953b