Instructions to use Jeevesh8/bert_ft_cola-30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-30")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-30") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-30") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1652088248.gr023.hpc.nyu.edu
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version https://git-lfs.github.com/spec/v1
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oid sha256:b077609e40b1647032602b588048fbcb4b3f48dfa0489e9b00eb0b7ca26e1ee8
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size 12950562
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