Token Classification
Transformers
ONNX
Safetensors
modernbert
ner
on-device
privacy
flowx
openner
banking
de-identification
Instructions to use flowxai/filingtag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/filingtag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/filingtag")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("flowxai/filingtag") model = AutoModelForTokenClassification.from_pretrained("flowxai/filingtag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4264b5c4ac42c05339415f850c1be52f0f696584704217140d723ec6a800539
- Size of remote file:
- 5.2 kB
- SHA256:
- 7eb0b069d36c98a561a9ef81076a0d0dcebff8fd36a1a992ba16aa6d549cbe35
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