Instructions to use tiny-random/openai-privacy-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiny-random/openai-privacy-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tiny-random/openai-privacy-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tiny-random/openai-privacy-filter") model = AutoModelForTokenClassification.from_pretrained("tiny-random/openai-privacy-filter") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
daba5d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
size 27868174
|