Instructions to use Joqsan/bert-base-uncased-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joqsan/bert-base-uncased-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joqsan/bert-base-uncased-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Joqsan/bert-base-uncased-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("Joqsan/bert-base-uncased-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15536e68e3e62f5579a63ccc7370bb0698cd9eedc6b58a5d2192ba8e51074851
- Size of remote file:
- 438 MB
- SHA256:
- afbe9b0338359073af87da094e204b13efa09c4b50330a766dd91ef77633f105
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