Instructions to use karths/binary_classification_train_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_main")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_main") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_main") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
89f6a4f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:44022b48ec3e43b209b5d058a6bc7337f3d3f8fbe5699d1d29bef789c6ec3a22
size 928671
|