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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34bf313c5373f1a788055ab76d549f55ee8b975675192b93fb1e90a97bb4b94f
- Size of remote file:
- 5.37 kB
- SHA256:
- ddf870ed58ce81c5c54fb364a5a1f1c1f56749052ffa20c960f53f1c9f16937f
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