Instructions to use AbdullahBarayan/roberta-large-finetuning-cola-CED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbdullahBarayan/roberta-large-finetuning-cola-CED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AbdullahBarayan/roberta-large-finetuning-cola-CED")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AbdullahBarayan/roberta-large-finetuning-cola-CED") model = AutoModelForSequenceClassification.from_pretrained("AbdullahBarayan/roberta-large-finetuning-cola-CED") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c838028f81bd7fc3b32cfca9c203812f3f5c02b38494f2d9fc834c8e10e4256f
- Size of remote file:
- 1.42 GB
- SHA256:
- 29e6cacf23421580ffadc7777dc7f0f0824363610a276e6dcb2532499cd662db
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