Instructions to use Cournane/roberta-base-finetuned-Ring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Ring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Ring")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Ring") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Ring") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92e95eac7d1a877cc8d5b67d737e2fba982562af9666556a5e36e35d22d83d3c
- Size of remote file:
- 499 MB
- SHA256:
- 50f3ad1810b2dd3458f0841017ceb77d6a8e8a96c7f2f27442a6cc89d10d6ecb
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