Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_rte") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 626cf9f99c14ead718db76ad6e668d7668a72ed4e55b8ceaf6455c30b2b67e06
- Size of remote file:
- 98.7 MB
- SHA256:
- 19cb91a2a22a9718ce1a3df25bc22517732e8fbab9fc51198b3eb7a9b299b26b
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