Instructions to use Cournane/roberta-base-reduced-Ring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-reduced-Ring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-reduced-Ring")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-reduced-Ring") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-reduced-Ring") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb79889527febba600f7ecdf002cfc6b6bd4d889cd2a8fcae45a513db2c8882b
- Size of remote file:
- 3.9 kB
- SHA256:
- 18584b226a34ec133760ba4b3dc1885cb9a274d6dfbc02a91c0ef8cc4188e75f
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