Instructions to use JoshuaAAX/roberta-base-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaAAX/roberta-base-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshuaAAX/roberta-base-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshuaAAX/roberta-base-binary-classification") model = AutoModelForSequenceClassification.from_pretrained("JoshuaAAX/roberta-base-binary-classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
627ad27 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:64e4fb2ff5177e3328f0a4c1d15d4c25f31845aa04edf05e88ed9de082c9f9ee
size 498612824
|