Instructions to use Jeevesh8/std_0pnt2_bert_ft_cola-44 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-44 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-44")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-44") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/std_0pnt2_bert_ft_cola-44") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07db2ab3e6e88d2e9855deaea32a4a8a640c9842bf3aab0f47e2b841b3d31938
- Size of remote file:
- 438 MB
- SHA256:
- cc9cab96eb9673b1831ee07117385ab1e7760592b80aa9cca6e8b2bea2999a9e
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