Instructions to use thisiskeithkwan/stanford-deidentifier-base-onnx-nonquantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/stanford-deidentifier-base-onnx-nonquantized with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thisiskeithkwan/stanford-deidentifier-base-onnx-nonquantized") model = AutoModel.from_pretrained("thisiskeithkwan/stanford-deidentifier-base-onnx-nonquantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0964ca0a89581d1ecb63692619e11a26217ec7e6651f11eab40945a8c2d6297
- Size of remote file:
- 436 MB
- SHA256:
- fee3841e8a2b4478d7db3d134f4ab0a5cb563868d0d6eddf52871d56e756b032
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.