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")# 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
- Xet hash:
- ef0494eccaa1f1ebfaa922179a7ecf5e0f60d8f701ba270e17bc6dbce85b1b32
- Size of remote file:
- 598 MB
- SHA256:
- e31b2e66a27dbd138b6e3796702f8e71583dac9b6c2ebcadfc816606a8a346cc
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