Instructions to use textattack/roberta-base-CoLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-CoLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-CoLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-CoLA") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-CoLA") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 547059e16c28098442ae8610b73327539c72a18152ce8b70b0b1881c3514e021
- Size of remote file:
- 499 MB
- SHA256:
- d0580f98f8c75c230dd316c38c57ffe91591214a29a97f2342999a3954368086
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