Instructions to use protectai/guishe-nuner-v1_orgs-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protectai/guishe-nuner-v1_orgs-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="protectai/guishe-nuner-v1_orgs-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("protectai/guishe-nuner-v1_orgs-onnx") model = AutoModelForTokenClassification.from_pretrained("protectai/guishe-nuner-v1_orgs-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| inference: false | |
| pipeline_tag: token-classification | |
| license: cc-by-sa-4.0 | |
| base_model: guishe/nuner-v1_orgs | |
| > [!WARNING] | |
| > **THIS PROJECT HAS BEEN ARCHIVED.** | |
| > | |
| > This project and its associated code on [GitHub](https://github.com/protectai/llm-guard) are no longer under active development or maintained. | |
| # ONNX version of guishe/nuner-v1_orgs | |
| **This model is a conversion of [guishe/nuner-v1_orgs](https://huggingface.co/guishe/nuner-v1_orgs) to ONNX** format using the [🤗 Optimum](https://huggingface.co/docs/optimum/index) library. |