Instructions to use Jeevesh8/bert_ft_cola-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-28")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-28") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-28") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8a67d857e478fe09c4c5f00c78ddc4198907629c70f15e1249d03f64c2bb117
- Size of remote file:
- 438 MB
- SHA256:
- b3051fdd945e30203421241e2598b375818021e62d459b33b5d1c7d046ab3d3d
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