Instructions to use k0t1k/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k0t1k/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="k0t1k/test")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("k0t1k/test") model = AutoModelForPreTraining.from_pretrained("k0t1k/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: ["ru", "en"] | |
| tags: | |
| - russian | |
| - fill-mask | |
| - pretraining | |
| - embeddings | |
| - masked-lm | |
| - tiny | |
| license: mit | |
| widget: | |
| - text: "Миниатюрная модель для [MASK] разных задач." | |
| Копия модели https://huggingface.co/cointegrated/rubert-tiny. Чисто для теста! | |