Instructions to use anjleeg/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjleeg/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjleeg/roberta-base-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjleeg/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("anjleeg/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0e63ba65b5f6c4ef2d8b077a6e95c1f1873bf8789d76565ea7aa38ce01f6357
- Size of remote file:
- 249 MB
- SHA256:
- cfa810debbf86568b2ec4adcc5a5486c0d9e595cb9de06fcb554c022654dadde
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