Instructions to use Cournane/roberta-base-finetuned-Outer_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Outer_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Outer_pattern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Outer_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Outer_pattern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f051c0e2e6fd857362fe5aeb5c8df329803d881b231279487c6a55fece3821a
- Size of remote file:
- 499 MB
- SHA256:
- 2efda4815f2fb69b24503d2e2201a6028cc4444a33fae10e53e01883ce7d8e18
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