Instructions to use Jeevesh8/bert_ft_cola-74 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-74 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-74")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-74") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-74") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6519b5cfb6b430bb16aacb898a5cc3df38947ffad9fd2ac52b72b9670f98e81c
- Size of remote file:
- 438 MB
- SHA256:
- e24f234e6f927437b418bf1e0c4841961faaa43846832b19750e5a20b8ab8151
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