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)# pip install -U transformers accelerate # 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_performance.png from fblgit/haremb-privacy-filter-opennemo: direct link, hf CLI and curl.
- Browser
- Download file 84.6 kB
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https://huggingface.co/fblgit/haremb-privacy-filter-opennemo/resolve/main/eval_performance.png
- Command line
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hf download hf://fblgit/haremb-privacy-filter-opennemo/eval_performance.png
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curl -L -o eval_performance.png https://huggingface.co/fblgit/haremb-privacy-filter-opennemo/resolve/main/eval_performance.png
84.6 kB
