Instructions to use pax-k/privacy-filter-mini2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pax-k/privacy-filter-mini2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pax-k/privacy-filter-mini2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pax-k/privacy-filter-mini2") model = AutoModelForTokenClassification.from_pretrained("pax-k/privacy-filter-mini2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a733750597e235b294ca84f7cffe6bddfc64283dd3bfaab10eb92644074088c
- Size of remote file:
- 140 MB
- SHA256:
- 1c0c4bb90ab686e463540828bb6510fcafdc52689ce7b1660df6fd95ea8e3611
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.