Instructions to use Jeevesh8/bert_ft_cola-45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-45 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-45")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-45") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-45") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70189e2cc0cc6d141f0d7eb2455f6edee3ecd242692875e366804b114726ef81
- Size of remote file:
- 438 MB
- SHA256:
- e476114f720bc11b0aabbb1f8278447f583e6cf40344ca90fdf9f10135ebae49
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