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")# 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
- Xet hash:
- 137031ee9ed0fe82dec3e2858a091f8b6543895bb00b39cd20a1932feae565ed
- Size of remote file:
- 5.2 kB
- SHA256:
- 0a4d81b6f9f6a8f7fde3d27ade4fba995e45b52610b0e2f347ea5962e2fe4ff9
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