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:
- 300f64cabff46e2bd0e31e9fd82b6380074ac0e3f65e8aeede1ddba59514d174
- Size of remote file:
- 2.62 MB
- SHA256:
- 2f994efa9316f7ad7567a965bcd57f25eb63c3b0ded25f8a1aafdf2aad6c3b8b
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