Instructions to use protectai/lakshyakh93-deberta_finetuned_pii-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protectai/lakshyakh93-deberta_finetuned_pii-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="protectai/lakshyakh93-deberta_finetuned_pii-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("protectai/lakshyakh93-deberta_finetuned_pii-onnx") model = AutoModelForTokenClassification.from_pretrained("protectai/lakshyakh93-deberta_finetuned_pii-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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language:
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- en
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inference: false
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pipeline_tag: token-classification
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license: apache-2.0
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base_model: lakshyakh93/deberta_finetuned_pii
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---
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# ONNX version of lakshyakh93/deberta_finetuned_pii
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**This model is a conversion of [lakshyakh93/deberta_finetuned_pii](https://huggingface.co/lakshyakh93/deberta_finetuned_pii) to ONNX** format using the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library.
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