Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use PuxAI/PII-Binary-Filter-gretel-pii-ready with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuxAI/PII-Binary-Filter-gretel-pii-ready with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PuxAI/PII-Binary-Filter-gretel-pii-ready")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PuxAI/PII-Binary-Filter-gretel-pii-ready") model = AutoModelForSequenceClassification.from_pretrained("PuxAI/PII-Binary-Filter-gretel-pii-ready", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76c061961ada32579e736741f922c14fde995f1d8c7d53842c2799945efa5c20
- Size of remote file:
- 5.91 kB
- SHA256:
- 0b823445a8a1a19f7178142b06527bc067f79b7a4394fa1e0662277e6f6d3b08
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