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:
- fa500351340152bb20c52628d950c90369b964307b2fc324de58c8dfc2e7c7d9
- Size of remote file:
- 3.25 kB
- SHA256:
- b2ca20a115acd923392b29d5b0a6870f94fdce7edf18c1e5f7eaa8961dfbc174
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