Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_qqp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_qqp") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06739b4564becf6d88fff1ba14be18d428d7f7c3ff91c471bfa1773f01d88908
- Size of remote file:
- 98.7 MB
- SHA256:
- 1801510781eb0a629eb955b9a8c476eb9399239831288063cdb515f79a4ff869
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