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:
- 7e992f2773441ceef74fb4fe231754c95e52b09406a114b2ecc35d5b0becaf38
- Size of remote file:
- 598 MB
- SHA256:
- 23a428a73b8a6d4d1125cbf6efd7adf36b7445e2f5588435ad4712c9ebec3d85
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