Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/mortgagedocner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/mortgagedocner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/mortgagedocner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/mortgagedocner") model = AutoModelForTokenClassification.from_pretrained("flowxai/mortgagedocner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model.onnx from flowxai/mortgagedocner: direct link, hf CLI and curl.
- Browser
- Download file 2.62 MB
-
https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://flowxai/mortgagedocner/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.onnx
2.62 MB
- Xet hash:
- 66118c18b6ab0dc088b1f036fdfb52579df92a46502b05a3c2d5ba33486377dd
- Size of remote file:
- 2.62 MB
- SHA256:
- 5cb97361a53a7e6fe9b0d0decfe824e4cd17cd2c276ff5233a12c2a094cce2c5
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