Instructions to use Jeevesh8/bert_ft_cola-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-25")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-25") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 825523627b49111a2570775641bbede131f523359f54a01b7b816c795c499680
- Size of remote file:
- 438 MB
- SHA256:
- 06c035142a5ae9b9996006218724331bf88ba2e3f2ae7c312b791d4757028451
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