Token Classification
Transformers
Safetensors
English
haremb_pii
pii
privacy
bioes
Mixture of Experts
haremb
custom_code
Instructions to use fblgit/haremb-privacy-filter-opennemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fblgit/haremb-privacy-filter-opennemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fblgit/haremb-privacy-filter-opennemo", trust_remote_code=True)# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("fblgit/haremb-privacy-filter-opennemo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_confusion.png from fblgit/haremb-privacy-filter-opennemo: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/fblgit/haremb-privacy-filter-opennemo/resolve/main/eval_confusion.png
- Command line
-
hf download hf://fblgit/haremb-privacy-filter-opennemo/eval_confusion.png
-
curl -L -o eval_confusion.png https://huggingface.co/fblgit/haremb-privacy-filter-opennemo/resolve/main/eval_confusion.png
114 kB

- Xet hash:
- 558cf7d233807bc078ef8d315f7f88b96dacedf4ceff73ed4f8da08fca2062c4
- Size of remote file:
- 114 kB
- SHA256:
- d3f48f7c2692cd641800d883952b19b7aa3ca2b1e3cfbe9846f082dcbd2a2b16
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