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:
- 25f8d9fd532e703e0f370336946e3049254474c90b94af69332ae2e1360a9f8c
- Size of remote file:
- 499 MB
- SHA256:
- 48efc49dabdf70a74424fdcd8f59458a008b396475ec801463abfa185e67d54e
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