Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
cross
de-identification
Instructions to use flowxai/invoicener with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/invoicener with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/invoicener")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/invoicener") model = AutoModelForTokenClassification.from_pretrained("flowxai/invoicener", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7fa4fa63a82f9595afb33f93942dd9e8eed407a58a97d0667a77b59f0231fcd
- Size of remote file:
- 5.2 kB
- SHA256:
- e6ef1eb22d82882188f9fe5dd43fdf40346a38b53ad0dcad16e7e5fc158e1b6b
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