Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
insurance
de-identification
Instructions to use flowxai/assetdetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/assetdetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/assetdetect")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/assetdetect") model = AutoModelForTokenClassification.from_pretrained("flowxai/assetdetect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/model.int8.onnx from flowxai/assetdetect: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/flowxai/assetdetect/resolve/main/onnx/model.int8.onnx
- Command line
-
hf download hf://flowxai/assetdetect/onnx/model.int8.onnx
-
curl -L -o model.int8.onnx https://huggingface.co/flowxai/assetdetect/resolve/main/onnx/model.int8.onnx
152 MB
- Xet hash:
- 1c358579dc1f199f66461dbc2ab7dc6c8c19988b24dd54a5a59193be0b657283
- Size of remote file:
- 152 MB
- SHA256:
- 4bcc8cc87bd02f29a7421e185843bc5a99eb7858282532c2fd213b57423c51d7
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