Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_sst2") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 978b2ea2656eaa2e54582002e1cde728229425bdfb40d72f83b9343b80cae0ae
- Size of remote file:
- 98.7 MB
- SHA256:
- 975d270f0f63969a0fcaf994e4a89b9377db7fde41b74bb16211467161cee29d
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