Instructions to use Jeevesh8/bert_ft_cola-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-14") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f483b43c7b26361fba08a41cbb56cbbcc1f3cd96820cfe9b6cfc5d1aae4bb95
- Size of remote file:
- 438 MB
- SHA256:
- 4d8cbf33460ac85af670222eec3fe50874b70239a87ccd1468cc72e3e43f552b
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