Instructions to use Jeevesh8/bert_ft_cola-41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-41 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-41")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-41") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-41") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7507e07870fe3ce3eac6809ac0fb1c34b348201e54a32aa86d245999baaa2623
- Size of remote file:
- 438 MB
- SHA256:
- 2d6e2bba50502ceaa11a42a9a9f5f3b4a445dca60d4a38c0f8af4c9589ec8653
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