Instructions to use Cournane/roberta-base-labels-Ring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Ring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Ring")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Ring") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Ring") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56863cb32aa91928acf2446c25481c156d97e474a9caee57f127616c7c5583a0
- Size of remote file:
- 3.9 kB
- SHA256:
- c8d3ee10444b95c8b11476588f83f88ce8400368a2d99c1738302bc0ce974d3a
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