Instructions to use KindLab/bert-deid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KindLab/bert-deid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KindLab/bert-deid")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KindLab/bert-deid") model = AutoModelForTokenClassification.from_pretrained("KindLab/bert-deid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abe1802fed561870ee7c8d0ec7cdbfbc6222cbd66b5976a969a8f4d79f9a377f
- Size of remote file:
- 431 MB
- SHA256:
- 2f4ddc74eee792ca71d584b9691c56f5fc8e53441c851e15b53814098a2f87fb
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