Text Classification
Transformers
Safetensors
English
modernbert
oncology
clinical-trials
eligibility
binary-classification
text-matching
text-embeddings-inference
Instructions to use ksg-dfci/BoilerplateChecker-1225 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksg-dfci/BoilerplateChecker-1225 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksg-dfci/BoilerplateChecker-1225")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksg-dfci/BoilerplateChecker-1225") model = AutoModelForSequenceClassification.from_pretrained("ksg-dfci/BoilerplateChecker-1225") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!