How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Rakshinrules/Raksh"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Rakshinrules/Raksh",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/Rakshinrules/Raksh
Quick Links

Название модели: Rakshinrules/Raksh

Описание

Эта модель предназначена для выполнения задач генерации текста на русском языке. Она разработана с использованием предобученной модели Hugging Face и оптимизирована для работы с текстами средней длины.

Задачи

  • text-generation: Генерация текста на основе заданного промпта.

Примеры использования

from transformers import pipeline

generator = pipeline("text-generation", model="Rakshinrules/Raksh")
response = generator("Пример запроса", max_length=100, num_return_sequences=1)
print(response)
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