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:
- bc946826b88e3f063fb2afb6e358680bb104d35a4d4b98202da42a70ef23cc83
- Size of remote file:
- 167 kB
- SHA256:
- 77c7da68b68cfa9223fc8423ad2be6124e3c14e6d9f49d1d683db2630f2f5b71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.