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.int8.onnx from flowxai/mortgagedocner: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.int8.onnx
- Command line
-
hf download hf://flowxai/mortgagedocner/onnx/model.int8.onnx
-
curl -L -o model.int8.onnx https://huggingface.co/flowxai/mortgagedocner/resolve/main/onnx/model.int8.onnx
152 MB
- Xet hash:
- f3492b11b5c7ef8cd7a826d078c4aaa9d32c09873f87db7f7cd2b00c45fd354a
- Size of remote file:
- 152 MB
- SHA256:
- 9a1a77c5c0ab500ac43d77cec94f96ce7a8a2ed7603a5930301368a8cdea471a
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