Instructions to use Cournane/roberta-base-finetuned-Covering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-finetuned-Covering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-finetuned-Covering")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-finetuned-Covering") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-finetuned-Covering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdba3172928e704146f5239ae51d6e0f217932b62d02970b7b0089b9af9c9cea
- Size of remote file:
- 3.9 kB
- SHA256:
- 49fdb879a8b72f3b60d3f483d208d99ff0d6d29b3250bfd6fe922b94809e4279
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