Token Classification
Transformers
Safetensors
layoutlmv3
ner
on-device
privacy
flowx
openner
cross
de-identification
Instructions to use flowxai/docformner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flowxai/docformner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="flowxai/docformner")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("flowxai/docformner") model = AutoModelForTokenClassification.from_pretrained("flowxai/docformner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 242 Bytes
d58e253 | 1 2 3 4 5 6 7 8 9 10 11 | {
"test_loss": 7.649723556824028e-05,
"test_precision": 1.0,
"test_recall": 1.0,
"test_f1": 1.0,
"test_accuracy": 1.0,
"test_runtime": 64.0196,
"test_samples_per_second": 15.62,
"test_steps_per_second": 1.953,
"epoch": 4.0
} |