Instructions to use jammmmmm/pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jammmmmm/pii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jammmmmm/pii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jammmmmm/pii") model = AutoModelForTokenClassification.from_pretrained("jammmmmm/pii") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:16f4a06f5dc26818f79d153d085ae064fcc77cbe213142e9f3cdb56842d41135
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size 554787696
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