Text Classification
Transformers
ONNX
Safetensors
gpt2
healthcare
column-normalization
distilgpt2
Eval Results (legacy)
Instructions to use tsilva/clinical-field-mapper-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsilva/clinical-field-mapper-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tsilva/clinical-field-mapper-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tsilva/clinical-field-mapper-classification") model = AutoModelForSequenceClassification.from_pretrained("tsilva/clinical-field-mapper-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add run artifact ZIP (2025-05-06T20-52-25Z)
Verified signature9f38153 -
Add config.json (2025-05-06T20-52-25Z)
Verified signaturea3f16f5 -
Add requirements.txt (2025-05-06T20-52-25Z)
Verified signatureb162c83 -
Add run artifact ZIP (2025-05-06T20-38-18Z)
Verified signature027968f -
Add config.json (2025-05-06T20-38-18Z)
Verified signature3718726 -
Add requirements.txt (2025-05-06T20-38-18Z)
Verified signature30ebabd -
Add run artifact ZIP (2025-05-06T20-09-20Z)
Verified signatureab00c05 -
Add config.json (2025-05-06T20-09-20Z)
Verified signaturef5d57a5 -
Add requirements.txt (2025-05-06T20-09-20Z)
Verified signature369aee6 -
Add run artifact ZIP (2025-05-06T19-19-41Z)
Verified signature2c940a9 -
Add config.json (2025-05-06T19-19-41Z)
Verified signature14f51ce -
Add requirements.txt (2025-05-06T19-19-41Z)
Verified signature2b22550
-
Add run artifact ZIP (2025-05-05T16-35-16Z)
Verified signature25672f0 -
Add requirements.txt (2025-05-05T16-35-16Z)
Verified signature92743b1 -
Add config.json (2025-05-05T16-35-16Z)
Verified signaturef5c0292