Text Generation
Transformers
PyTorch
Tuvinian
English
Russian
gpt2
gpt3
mgpt
text-generation-inference
Instructions to use ai-forever/mGPT-1.3B-tuvan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai-forever/mGPT-1.3B-tuvan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ai-forever/mGPT-1.3B-tuvan")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ai-forever/mGPT-1.3B-tuvan") model = AutoModelForCausalLM.from_pretrained("ai-forever/mGPT-1.3B-tuvan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ai-forever/mGPT-1.3B-tuvan with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ai-forever/mGPT-1.3B-tuvan" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ai-forever/mGPT-1.3B-tuvan", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ai-forever/mGPT-1.3B-tuvan
- SGLang
How to use ai-forever/mGPT-1.3B-tuvan with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ai-forever/mGPT-1.3B-tuvan" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ai-forever/mGPT-1.3B-tuvan", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ai-forever/mGPT-1.3B-tuvan" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ai-forever/mGPT-1.3B-tuvan", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ai-forever/mGPT-1.3B-tuvan with Docker Model Runner:
docker model run hf.co/ai-forever/mGPT-1.3B-tuvan
Download pytorch_model.bin from ai-forever/mGPT-1.3B-tuvan: direct link, hf CLI and curl.
- Browser
- Download file 5.77 GB
-
https://huggingface.co/ai-forever/mGPT-1.3B-tuvan/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ai-forever/mGPT-1.3B-tuvan/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai-forever/mGPT-1.3B-tuvan/resolve/main/pytorch_model.bin
5.77 GB
- Xet hash:
- 6b2245f0043cdf0900be2fec7291b2ae6226dba2f01fbe7f1af9a94948574f2f
- Size of remote file:
- 5.77 GB
- SHA256:
- c50e5858ef640d66500fcdcd27441c2f663321955feb4c9d2b9c744b6f0d7d0a
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