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, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- caf072840bced82a7aef471c1e3a9906da26628e10cf1d791c4ad10e23bae497
- Size of remote file:
- 767 kB
- SHA256:
- 3d53d359c14545f778e4789ac53d40eb8a4b0fc0ed7bf05a72c101ee60e33db1
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