Instructions to use jefftherover/pii-layout-synth-v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jefftherover/pii-layout-synth-v13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jefftherover/pii-layout-synth-v13")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jefftherover/pii-layout-synth-v13") model = AutoModelForTokenClassification.from_pretrained("jefftherover/pii-layout-synth-v13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d4eca0a32e884271365ff49db6bc8dc0505a70dfd4d3c5a5d355693217c997b
- Size of remote file:
- 5.27 kB
- SHA256:
- badaf6907fc70f0d6c0898463e30755a78388cd7d14c38f6352cafc8acff3381
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