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
- Xet hash:
- 52bc635e9636f48529f552e4bebabc61a2301524fe6413dd95c2a584cccb4f13
- Size of remote file:
- 497 MB
- SHA256:
- 755f8fc684a7bc37fea7a8b99ea0f2ff82f73f0188a193c2e463c8e78d0642cf
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