Instructions to use Jeevesh8/bert_ft_cola-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-6") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17a70e5af78effce03ab55825aa15e706a5b20e93265989aa4aacadeed6e36ea
- Size of remote file:
- 438 MB
- SHA256:
- 4f66da0aeb681653f1b7760ba7aa721dc4de002e06fdf2882112124aada22023
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