Instructions to use jwan2021/autotrain-us-housing-prices-1771761510 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jwan2021/autotrain-us-housing-prices-1771761510 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jwan2021/autotrain-us-housing-prices-1771761510", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a3f7b9f14207b50112eb8ab7f532050fd5418ac1dc84ce095f3950db6f4a95e
- Size of remote file:
- 1.42 MB
- SHA256:
- a45cf7db8351945db9b41aaf2d6e25ceb76b5c0e331fde98577a1653a851c32c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.