Instructions to use 0xhikae/pleno_anonymize_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0xhikae/pleno_anonymize_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="0xhikae/pleno_anonymize_en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("0xhikae/pleno_anonymize_en") model = AutoModelForTokenClassification.from_pretrained("0xhikae/pleno_anonymize_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b27b680128c425ebf9b1fc2864dd0004ea8f46040b63fb5087c774cf1e286e6
- Size of remote file:
- 266 MB
- SHA256:
- 8397d41bcd0dca7d54db76e574934e4c756c8289156350b47d57d513731443fe
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