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
File size: 229 Bytes
9d2338f | 1 2 3 4 5 6 7 8 9 | {
"epoch": 10.0,
"eval_accuracy": 0.9036697247706422,
"eval_loss": 1.1730189323425293,
"eval_runtime": 4.6464,
"eval_samples": 872,
"eval_samples_per_second": 187.674,
"eval_steps_per_second": 23.459
} |