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:
- 747c62365598c1c9c4d1965179cabd3f89d54c18631d768dacd65c4a228b2eea
- Size of remote file:
- 2.67 kB
- SHA256:
- dcb3539f7ab1baf61fb231cfaf86091641b94b899cfa696c3c78eed40b886a77
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