Instructions to use Jeevesh8/bert_ft_cola-99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-99 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-99")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-99") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-99") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da3554f6a78d3fd4e87f3accdc69e1ff89f4420893ee95609dbe1d5171e56305
- Size of remote file:
- 438 MB
- SHA256:
- ef08bc22ab5d5b0f97238a8638f0539eff88b0ae58d70c147e8ed521aa3cb222
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