Instructions to use yujiepan/stablelm-2-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/stablelm-2-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="yujiepan/stablelm-2-tiny-random")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("yujiepan/stablelm-2-tiny-random") model = AutoModelForCausalLM.from_pretrained("yujiepan/stablelm-2-tiny-random") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use yujiepan/stablelm-2-tiny-random with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yujiepan/stablelm-2-tiny-random" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yujiepan/stablelm-2-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/yujiepan/stablelm-2-tiny-random
- SGLang
How to use yujiepan/stablelm-2-tiny-random 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 "yujiepan/stablelm-2-tiny-random" \ --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": "yujiepan/stablelm-2-tiny-random", "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 "yujiepan/stablelm-2-tiny-random" \ --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": "yujiepan/stablelm-2-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use yujiepan/stablelm-2-tiny-random with Docker Model Runner:
docker model run hf.co/yujiepan/stablelm-2-tiny-random
Upload folder using huggingface_hub
Browse files
README.md
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Codes:
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```python
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```
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Codes:
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```python
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import transformers
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import torch
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import os
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from huggingface_hub import create_repo, upload_folder
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source_model_id = 'stabilityai/stablelm-2-1_6b'
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save_path = '/tmp/yujiepan/stablelm-2-tiny-random'
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repo_id = 'yujiepan/stablelm-2-tiny-random'
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config = transformers.AutoConfig.from_pretrained(
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source_model_id, trust_remote_code=True)
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config.hidden_size = 4
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config.intermediate_size = 6
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config.num_attention_heads = 4
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config.num_hidden_layers = 2
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config.num_key_value_heads = 2
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config.torch_dtype = torch.float16
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model = transformers.AutoModelForCausalLM.from_config(
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config, trust_remote_code=True, torch_dtype=torch.float16)
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model = model.half()
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tokenizer = transformers.AutoTokenizer.from_pretrained(
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source_model_id, trust_remote_code=True)
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result = transformers.pipelines.pipeline(
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'text-generation',
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model=model, tokenizer=tokenizer,
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device=0,
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max_new_tokens=16,
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)('Hello World!')
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print(result)
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model.save_pretrained(save_path)
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tokenizer.save_pretrained(save_path)
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os.system(f'ls -alh {save_path}')
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create_repo(repo_id, exist_ok=True)
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upload_folder(repo_id=repo_id, folder_path=save_path)
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```
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