Instructions to use k4tel/geo-bert-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k4tel/geo-bert-multilingual with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("k4tel/geo-bert-multilingual") model = AutoModel.from_pretrained("k4tel/geo-bert-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93f6fcc7da327a0a935f4653a67996e0c7dcd15290424df7a80d0eb148758d07
- Size of remote file:
- 712 MB
- SHA256:
- 1853d8a1c205fe2ac3c28e22b34a0fa06bec0ff4bdb70ee3e11c253f4d4b0f71
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