Instructions to use Sayan01/Bert-FDBN-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-FDBN-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-FDBN-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-FDBN-cola") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-FDBN-cola") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ffe464929602f40f21428bf60b88a6dc1e3409bdd965178ef3e726c91281f6b
- Size of remote file:
- 443 MB
- SHA256:
- c1b79a6e4b1696c469758102e255aed731e64de00f874d34016014386e6efca7
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