Instructions to use karths/binary_classification_train_perf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_perf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_perf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_perf") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_perf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add ONNX export for CPU inference (no GPU required)
Verified signaturecaea0f3
-
Add ONNX export for CPU inference (no GPU required)
Verified signature4e28568
-
Upload 5 files
Verified signatureb109cfa
-
Upload folder using huggingface_hub
Verified signature8c32e38 -
initial commit
Verified signature1d09ebb