Text Classification
Transformers
TensorBoard
Safetensors
English
bert
paraphrase-detection
sentence-pair-classification
glue
mrpc
Eval Results (legacy)
text-embeddings-inference
Instructions to use azherali/bert_paraphrases with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azherali/bert_paraphrases with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="azherali/bert_paraphrases")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("azherali/bert_paraphrases") model = AutoModelForSequenceClassification.from_pretrained("azherali/bert_paraphrases") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e86ac36cbaa0455edb84743ba01fb6dad60c4e29374c7453ce2f4b89489a4245
- Size of remote file:
- 5.78 kB
- SHA256:
- 766ceda360d5829c2d1a3b4c284d578ecd0c9f9422e878ccc933fcfdb6f3ad18
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