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
File size: 315 Bytes
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language: ["ru", "en"]
tags:
- russian
- fill-mask
- pretraining
- embeddings
- masked-lm
- tiny
license: mit
widget:
- text: "Миниатюрная модель для [MASK] разных задач."
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Копия модели https://huggingface.co/cointegrated/rubert-tiny. Чисто для теста!
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