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
- Xet hash:
- d94fae2f550f774d3b4f59e42c25e19314ee5ddd1f99785afa7bf14dd8db5526
- Size of remote file:
- 5.2 kB
- SHA256:
- 79e8cf32e3fc6ee1bac025bcfdacecadc4ef37a171a5899de2e652de10d7c9c8
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