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:
- 1d40693b526c031c32386a0ddc206551a346e51a38af3a6e2a55913a164f609c
- Size of remote file:
- 3.25 kB
- SHA256:
- 714ca23b82fa11b7afff300a0189b1c59c872d3b5166468f73e256e973214508
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