Instructions to use karths/binary_classification_train_design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_design with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_design")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_design") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_design", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add ONNX export for CPU inference (no GPU required)
Verified signature997bbae
-
Add ONNX export for CPU inference (no GPU required)
Verified signaturee9c6a81
-
Upload 5 files
Verified signature0f71154
-
Upload folder using huggingface_hub
Verified signature5a80841 -
initial commit
Verified signaturecd884b1