Instructions to use karths/binary_classification_train_port with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_port with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_port")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_port") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_port") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
eb5fd7a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9d6807840031695fe02c74bb294ee539571c0fed47a6b7b5b7602fc088280f45
size 10906685
|