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--- |
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language: |
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- ru |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# Maral |
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<img src="Maral.jpg" width="700px"> |
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## Description |
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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. |
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## 👨💻 Examples of usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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tokenizer = AutoTokenizer.from_pretrained("MadShift/Maral") |
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model = AutoModelForCausalLM.from_pretrained("MadShift/Maral", device_map="auto") |
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input_text = "Введите свой текст здесь" |
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input_ids = tokenizer(input_text, return_tensors="pt").to(model.device) |
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outputs = model.generate(**input_ids, max_new_tokens=256) |
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print(tokenizer.decode(outputs[0])) |
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``` |
