Instructions to use Jeevesh8/std_0pnt2_bert_ft_cola-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/std_0pnt2_bert_ft_cola-25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/std_0pnt2_bert_ft_cola-25")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-25") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 361658ef1d3dd98f9edb9e651be2052377aa0a3247d2ead7d172f66e6776cdb1
- Size of remote file:
- 438 MB
- SHA256:
- 5ad122b5b33e526e723a4f70e4641aaf8b2d07b3f4a052e1ba920bcbcd06ae59
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