Instructions to use Posos/ClinicalNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Posos/ClinicalNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Posos/ClinicalNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Posos/ClinicalNER") model = AutoModelForTokenClassification.from_pretrained("Posos/ClinicalNER") - Notebooks
- Google Colab
- Kaggle
Commit ·
9f3c228
1
Parent(s): e465de1
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (bf61469e1923e025312b7071c8b21919fd4018d2)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcc765a21c9bd4c0ab77ed6bbaeccd69b8e5a6a38f83588e6aefce43c5ff7d8a
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size 1109880468
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