Instructions to use Jeevesh8/bert_ft_cola-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-1") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 383cd1e8c5b3caa3549a6102b08197c9999218784adead9cad2a50be8d259db0
- Size of remote file:
- 438 MB
- SHA256:
- 8c59d5117ecc9f38a7ed5b05e231eb14a6106962cb8fd75ee348322cb7fe9f4a
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