Instructions to use Cournane/roberta-base-labels-Lower_pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-labels-Lower_pattern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-labels-Lower_pattern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-labels-Lower_pattern") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-labels-Lower_pattern") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e3bacd784c787f499fc3782b4bb6122a5993c84e574722fd558ddafffac0ce0
- Size of remote file:
- 3.9 kB
- SHA256:
- d6588bb71921cc77850519ef7e4aedd19a198a9a1ee913e61aa9495a768db713
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