Instructions to use Jeevesh8/bert_ft_cola-34 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-34 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-34")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-34") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-34") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40f1d945d01e8908c13b902b80d579bf10a9626c9a6c7ef172c904f035bd588f
- Size of remote file:
- 438 MB
- SHA256:
- 4b19116d3a49b2f2319db32f54ae48a30ee6d4cdf40f352910b0d4f2cb4228d8
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