Instructions to use internetoftim/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="internetoftim/roberta-base-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("internetoftim/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("internetoftim/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2c82d47da512982e02c16c1466b8c80b03870079c2b127a95e26a063b46f165
- Size of remote file:
- 249 MB
- SHA256:
- 0a1dadc0e50202ebf306fd7041e2ef378dbecf90aa5a2f275bdee7cc4593bcf1
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