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.data from flowxai/mortgagedocner: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.onnx.data
- Command line
-
hf download hf://flowxai/mortgagedocner/onnx/model.onnx.data
-
curl -L -o model.onnx.data https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.onnx.data
599 MB
- Xet hash:
- 89bfb9829ec92496011aa4e2de8f7485bd1ed685559b01ce8e2d69fde8ddb18f
- Size of remote file:
- 599 MB
- SHA256:
- 2d02b9213e799e43e2d04917ebe30a88c0c3270d321bee917eadd55281652a0e
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