Instructions to use Jeevesh8/bert_ft_cola-55 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-55 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-55")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-55") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-55") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d33f768ce36ff547938d23e4e04896fdb0fb72371688ac72ebf4bdb2faf8e71
- Size of remote file:
- 438 MB
- SHA256:
- a342bed15f12c6f8656935ce67c29bb7fec27c46a60a52dc2a1fe930cd038b0f
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