Token Classification
Transformers
PyTorch
Safetensors
English
roberta
deidentification
medical notes
ehr
phi
Instructions to use obi/deid_roberta_i2b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obi/deid_roberta_i2b2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="obi/deid_roberta_i2b2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("obi/deid_roberta_i2b2") model = AutoModelForTokenClassification.from_pretrained("obi/deid_roberta_i2b2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download vocab.json from obi/deid_roberta_i2b2: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/obi/deid_roberta_i2b2/resolve/main/vocab.json
- Command line
-
hf download hf://obi/deid_roberta_i2b2/vocab.json
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curl -L -o vocab.json https://huggingface.co/obi/deid_roberta_i2b2/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.