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:
- 37cb77b04b62462c0d196de579f5e3868ccb85d4a9fbd03ea951ce3dde4db278
- Size of remote file:
- 3.9 kB
- SHA256:
- 8f5164a175c50b1290f26cd698990f27db432fca7f68b19db0f20a97fbb7d67c
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