Instructions to use Jeevesh8/6ep_bert_ft_cola-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/6ep_bert_ft_cola-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/6ep_bert_ft_cola-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/6ep_bert_ft_cola-2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/6ep_bert_ft_cola-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb3648f3a7991cc814bfa6bbb710fcd93849d5412d95c9c579eb3551093270ac
- Size of remote file:
- 438 MB
- SHA256:
- acb09b645c895b0fb6ebf157c23b62a7dd0d497e59e813513743f9358e3b146f
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