Instructions to use whitedevil0089devil/roberta_base_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_base_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_base_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_base_1") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_base_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1499bc806b229d64d218df366b6791033a67921bb737eadec95612b1c3702f77
- Size of remote file:
- 150 MB
- SHA256:
- d67117a6cd872bf8d8b9016f3e421b1f14c6291c5a64ac64a9fd63ef50eafd02
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