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:
- 09892a504d8f0934236cd9682069b35239b9645d9ada3ff5461a00d14a9bfdd9
- Size of remote file:
- 3.25 kB
- SHA256:
- e818bca289aa19146913594f00817e60ecf2c5144f126dd7da3bc4b046d57ddf
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