Instructions to use Jeevesh8/bert_ft_cola-19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-19")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-19") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e7085fd7fe5fd58af1a58d53bca8e015fb61320797848d843839c4f4eea1cd4
- Size of remote file:
- 438 MB
- SHA256:
- 374f21a57ac8d15d9e2475a5db86fea3a40d1dc13f1abe87498cb3e98c896d75
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