Instructions to use Jeevesh8/bert_ft_cola-71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/bert_ft_cola-71 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/bert_ft_cola-71")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/bert_ft_cola-71") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/bert_ft_cola-71") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69e4ff0e2ebc25b18b8b1209f399c323e28c2bd63a501cb3c9b2504a6ca72c3b
- Size of remote file:
- 438 MB
- SHA256:
- 5de46e976d5538293a4ba0b3c407e43e6d2ba00ef2b29feccc8bc5d213b1a795
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