Instructions to use JoshuaAAX/roberta-large-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaAAX/roberta-large-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshuaAAX/roberta-large-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshuaAAX/roberta-large-binary-classification") model = AutoModelForSequenceClassification.from_pretrained("JoshuaAAX/roberta-large-binary-classification") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
29d9b5a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:443df74619bd134e866996d772cdd208205bbcb8493aa420cadc7d0ea317791c
size 1421495416
|