Instructions to use nikhilrk/de-identify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikhilrk/de-identify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nikhilrk/de-identify")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nikhilrk/de-identify") model = AutoModelForTokenClassification.from_pretrained("nikhilrk/de-identify") - 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 sha256:2306f6dc3e12edb8a7b8d68235bf1d9efef701d48c9060450d13c3e11bc94e3e
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size 435643344
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