Instructions to use Jeevesh8/bert_ft_cola-27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-27")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-27") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-27") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18c2e31e5f2928e78452692cd3098ef61887f9f76098cbb7519081290cde2bf
- Size of remote file:
- 438 MB
- SHA256:
- 674cc7632e56cfff43b3934b225fadc544d8da481cc29f7a2a025cb480735e99
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