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
metadata
language:
- en
inference: false
pipeline_tag: token-classification
license: cc-by-sa-4.0
base_model: guishe/nuner-v1_orgs
THIS PROJECT HAS BEEN ARCHIVED.
This project and its associated code on GitHub 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 to ONNX format using the 🤗 Optimum library.