Instructions to use Jeevesh8/bert_ft_cola-78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-78 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-78")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-78") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-78") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d4dfce8b41a8842b13b7e2216465945472ea635d5bead0247170a3bc00d91e
- Size of remote file:
- 438 MB
- SHA256:
- 19abf7fc60449c07ebc9fc32a9940aecd23b367a5e2541a46157b77924ef17cc
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