Instructions to use Cournane/roberta-base-labels-Upper_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Upper_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Upper_pattern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Upper_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Upper_pattern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b848b673944046e9eec6aeda6f5add510bc23023aeb98f06493533bd16a9ca1
- Size of remote file:
- 3.9 kB
- SHA256:
- 96be222da288cb8e9f329ab52be7d511823a15f080b6e9c2ca02e8ad501c4fab
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