Instructions to use Jeevesh8/bert-base-uncased_cola_ft_43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert-base-uncased_cola_ft_43 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert-base-uncased_cola_ft_43")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert-base-uncased_cola_ft_43") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert-base-uncased_cola_ft_43") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 1602
Browse files- flax_model.msgpack +1 -1
flax_model.msgpack
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