Instructions to use Jeevesh8/bert_ft_cola-47 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-47 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-47")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-47") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-47") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c26f3f103aa9d6daa14673687b5a5274585e25f548b297b448aebb5d8ec3fad2
- Size of remote file:
- 438 MB
- SHA256:
- 6b10597a07a035da006d04713c88e771555bf25d78cd0f36be987f4b4980f198
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