Instructions to use Jeevesh8/std_0pnt2_bert_ft_cola-24 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-24 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-24")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-24") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cad721a8de46c35477afda7e463842c2a7bc98d83fd8164d55e00ae151ade24e
- Size of remote file:
- 438 MB
- SHA256:
- 23ff8a1a5f78c6e062a8d19726393929c04542b07904c8e40f00e790bf937210
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