Instructions to use stanford-med-hdr/tide2-sentry-clinical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanford-med-hdr/tide2-sentry-clinical-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stanford-med-hdr/tide2-sentry-clinical-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stanford-med-hdr/tide2-sentry-clinical-ner") model = AutoModelForTokenClassification.from_pretrained("stanford-med-hdr/tide2-sentry-clinical-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Access the SHIELD tide2-sentry-clinical-ner model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
This model is released under Stanford Medicine's Research Use Agreement (full text in the LICENSE file): non-commercial research use only, no redistribution, no sharing of the download link, and no attempt to re-identify any individual. Access also requires registering individually on the Redivis page: https://redivis.com/REPLACE_WITH_SENTRY_MODEL_DUA_SLUG . Requests are reviewed and approved manually by a stanford-med-hdr maintainer after your Redivis registration is verified. Hugging Face automatically records your HF username, account email, and request timestamp for gated repositories.
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