Instructions to use alvarodt/geocoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvarodt/geocoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alvarodt/geocoding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alvarodt/geocoding") model = AutoModel.from_pretrained("alvarodt/geocoding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2549be2ba1cc0ac0eaa22e5b432675f996516c32f43404b317fe03d1a936d6e9
- Size of remote file:
- 180 MB
- SHA256:
- 56d7f7f45436cad56a6d67acb05177ab720649555ac93fcb434ae495f7c125d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.