Instructions to use TehranNLP-org/electra-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-sst2") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "validation_accuracy": 0.9506880733944955, | |
| "validation_loss": 0.1753561794757843, | |
| "validation_runtime": 0.7759, | |
| "validation_samples": 872, | |
| "validation_samples_per_second": 1123.912, | |
| "validation_steps_per_second": 36.089 | |
| } |