Instructions to use Cournane/roberta-base-labels-Outer_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Outer_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Outer_pattern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Outer_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Outer_pattern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4099844132a2c608a7c0f11fd91801891f0053e82e6525c884a479519cf6de4b
- Size of remote file:
- 499 MB
- SHA256:
- 5a69f4695e03ebf512fb299f01287d1d6e3d1007f67c2da5f554d3e88f0ca4cf
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