Instructions to use lectura/roberta-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lectura/roberta-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lectura/roberta-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lectura/roberta-test") model = AutoModelForSequenceClassification.from_pretrained("lectura/roberta-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dbffd7f64aa07c5918930f75dabb8ccd3da9bc9661757c1bd8d193988b2ed11
- Size of remote file:
- 997 MB
- SHA256:
- c29ece0b22fc2459aa1c8cc6d2737c7ad621e8133f2ad7ce2c747a21005b9a6c
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