Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
insurance
de-identification
Instructions to use flowxai/perilclassify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/perilclassify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/perilclassify")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/perilclassify") model = AutoModelForTokenClassification.from_pretrained("flowxai/perilclassify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efc7fd528e9bfad6b77b29b3317a7e8b620aa4af3bf4c5a91d3403b41d781e3f
- Size of remote file:
- 5.2 kB
- SHA256:
- feb97dc1b8834e80e25e18297d4b38a1ca1e2e5533e3dc66439ea42cf75019dc
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