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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
eb5fd7a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9091e9a2e831c5a567bd2c39fbf95f859fe6be61081cf3164b33afdc6beb5b69
size 328492280
|