Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use paraciusisagod/Paraphrase-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paraciusisagod/Paraphrase-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paraciusisagod/Paraphrase-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paraciusisagod/Paraphrase-classification") model = AutoModelForSequenceClassification.from_pretrained("paraciusisagod/Paraphrase-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca6b388b1efaba2bee385296844e19a7c28e7e7e2e258dd965397abbdec5e397
- Size of remote file:
- 5.84 kB
- SHA256:
- fc749a86dbebd49fa784598d6538246d3b87372c3eb274a6129b076f7b80a44d
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