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:
- 25e1e6393c0d6274b534cdd62307ab37312b26ed5831557979193bb7bafdfcc8
- Size of remote file:
- 3.9 kB
- SHA256:
- 565a91959bf10a018b8a67bbdb4cf3d5a5e5d46c3ac4c253fea41726bc1e85e3
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