Instructions to use a-l-p-s/ruBert_tiny_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a-l-p-s/ruBert_tiny_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="a-l-p-s/ruBert_tiny_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("a-l-p-s/ruBert_tiny_test") model = AutoModelForSequenceClassification.from_pretrained("a-l-p-s/ruBert_tiny_test") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - Den4ikAI/gibberish_dataset | |
| language: | |
| - en | |
| - ru | |
| base_model: | |
| - cointegrated/rubert-tiny2 | |
| library_name: transformers | |