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
kotikkonstantin commited on
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docs: update README.md
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- text: "Миниатюрная модель для [MASK] разных задач."
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language: ["ru", "en"]
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tags:
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- russian
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- fill-mask
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- pretraining
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- embeddings
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- masked-lm
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- tiny
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license: mit
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- text: "Миниатюрная модель для [MASK] разных задач."
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