Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_mnli") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c288dc46efb674d5d5b0bdc76bc6d894756c8186208ee9c40523cd299a49b77
- Size of remote file:
- 98.7 MB
- SHA256:
- a6d77f9bd02cb339183cbecd0605b3c27a5dbc136237c60a84900bff7c132204
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