Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_mrpc") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb48762d0b9f28534245c69de42d2792eec7275880e9649b2a31372143677e42
- Size of remote file:
- 98.7 MB
- SHA256:
- cfdb06d1b3fad8c8c65412c03b94dd7429d4b57d7956b4389b92efb94e94c2a1
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