Instructions to use h2oai/deberta_finetuned_pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h2oai/deberta_finetuned_pii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="h2oai/deberta_finetuned_pii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("h2oai/deberta_finetuned_pii") model = AutoModelForTokenClassification.from_pretrained("h2oai/deberta_finetuned_pii") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a10d843df200f74fa4d9a8b71212819b75487c64ad284d4836c69dee2570278
- Size of remote file:
- 4.16 kB
- SHA256:
- ed8e8c274d68a9ab2c8cd8253471b18e6035136643f0483c06a7e2df27f9fd3b
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