Text Classification
Transformers
ONNX
Safetensors
multilingual
xlm-roberta
privacy
pii-detection
text-embeddings-inference
Instructions to use Roblox/roblox-pii-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roblox/roblox-pii-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Roblox/roblox-pii-classifier-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Roblox/roblox-pii-classifier-v2") model = AutoModelForSequenceClassification.from_pretrained("Roblox/roblox-pii-classifier-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update used datasets
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library_name: transformers
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base_model: FacebookAI/xlm-roberta-large
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datasets:
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- Roblox/roblox-pii-safety-for-chat-benchmark
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- ai4privacy/pii-masking-openpii-1.5m
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- nvidia/Nemotron-PII
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# Roblox PII Classifier v2
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library_name: transformers
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base_model: FacebookAI/xlm-roberta-large
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datasets:
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- ai4privacy/pii-masking-openpii-1.5m
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- nvidia/Nemotron-PII
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- Roblox/roblox-pii-classifier-benchmark
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# Roblox PII Classifier v2
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