Instructions to use Jeevesh8/bert_ft_cola-38 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-38 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-38")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-38") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-38") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caf49bc78fdaf309c562153dd5508c0619674cd35d8b3348460eeb43670ff430
- Size of remote file:
- 438 MB
- SHA256:
- aeb1e2923b360946ab6de690c171405b99bd5dfb758fd2de1a8018f44083c4da
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