Instructions to use shahidul034/sentence_equivalent_check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/sentence_equivalent_check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahidul034/sentence_equivalent_check")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahidul034/sentence_equivalent_check") model = AutoModelForSequenceClassification.from_pretrained("shahidul034/sentence_equivalent_check") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed688480000cf3408ed729580311f8766f8a57b4554850ca0f61795b80876074
- Size of remote file:
- 438 MB
- SHA256:
- 2902d123bf92c7359eafe4eaa504779245eba1993237fd27bb92869fc051711a
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