Instructions to use Jeevesh8/bert_ft_cola-22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-22")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-22") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 761482259000caaaa062c34b2bc68ea2c00f46b9339915ce1d417828bab8b2ce
- Size of remote file:
- 438 MB
- SHA256:
- c5fa0408c35f1ba166edfcd85290851faa9efd58a7c7e042cefc555ff43af178
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