transformers safetensors llama text-generation conversational ru license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
language:
- ru
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
---
# Maral


<img src="Maral.jpg" width="700px">


## Description 

Maral is a general-purpose generative language model that demonstrates excellent performance in tasks such as summarization and question-answering, specifically in the Russian language. Its advanced capabilities allow it to generate coherent and contextually accurate responses, making it highly effective for a wide range of natural language processing applications.


## 👨‍💻 Examples of usage


```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("MadShift/Maral")
model = AutoModelForCausalLM.from_pretrained("MadShift/Maral", device_map="auto")

input_text = "Введите свой текст здесь"
input_ids = tokenizer(input_text, return_tensors="pt").to(model.device)

outputs = model.generate(**input_ids, max_new_tokens=256)
print(tokenizer.decode(outputs[0]))
```