Instructions to use Cournane/roberta-base-finetuned-Upper_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Upper_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Upper_pattern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Upper_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Upper_pattern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f41796848ed85c502b256280d04c188e3394811bfc6d481026d0519a9e063d4b
- Size of remote file:
- 3.96 kB
- SHA256:
- b178f2e7c4660442640b7e179a327ab3050b0f63b5fff0f31775a6d1297e5843
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