Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
healthcare
de-identification
Instructions to use flowxai/expiryner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/expiryner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/expiryner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/expiryner") model = AutoModelForTokenClassification.from_pretrained("flowxai/expiryner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9b785c1250d1cc2ecae262756235bebe28a51435d19801a6d52e5455237c78a
- Size of remote file:
- 5.2 kB
- SHA256:
- 291b65a013f1587b9720f7001fe99f1db5078b67cc32a4814a6c77ac0539008c
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