Instructions to use Jeevesh8/bert_ft_cola-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-16") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e8b6c64e6a7ab4ce16b735f4c3e5910b2b46214e3a2d123e2182130ea593173
- Size of remote file:
- 438 MB
- SHA256:
- 78dd298ac4ce61475abc2c385167cbcfc8458849a3e900812da51375d5fabff7
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