Instructions to use tedad09/DuplicateCrossEncoder-SecondTrain-40Epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tedad09/DuplicateCrossEncoder-SecondTrain-40Epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tedad09/DuplicateCrossEncoder-SecondTrain-40Epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tedad09/DuplicateCrossEncoder-SecondTrain-40Epochs") model = AutoModelForSequenceClassification.from_pretrained("tedad09/DuplicateCrossEncoder-SecondTrain-40Epochs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eea09431cce91bfc1186aefedc6a9677ec6f36e53083024cb8e09ca865662550
- Size of remote file:
- 133 MB
- SHA256:
- 9a1c0b23866a1a4061ad8f9fb0f423c81a517218a28c64f3939772bf0892b7ec
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