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:
- a0f1fda54f929be7418edde4ecdb7068d7c30334c8916caa850d9457bbe8a920
- Size of remote file:
- 5.2 kB
- SHA256:
- db17dbbfcdcd1551661426a446d6153c4e95ceb37bbea5cef8604e518c751387
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