Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use PuxAI/PII-Binary-Filter-Extreme-Recall-Fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PuxAI/PII-Binary-Filter-Extreme-Recall-Fix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PuxAI/PII-Binary-Filter-Extreme-Recall-Fix")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PuxAI/PII-Binary-Filter-Extreme-Recall-Fix") model = AutoModelForSequenceClassification.from_pretrained("PuxAI/PII-Binary-Filter-Extreme-Recall-Fix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e6034712c8b006c26ea2979458089338fd38f5942f12e29666f30476a0d2893
- Size of remote file:
- 5.84 kB
- SHA256:
- 01b9df288981a6a5815100c79477f7c41de416c7c68973eddbba60828736c68b
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