Instructions to use evanhanders/arithmetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evanhanders/arithmetic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="evanhanders/arithmetic")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("evanhanders/arithmetic") model = AutoModelForCausalLM.from_pretrained("evanhanders/arithmetic") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use evanhanders/arithmetic with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "evanhanders/arithmetic" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "evanhanders/arithmetic", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/evanhanders/arithmetic
- SGLang
How to use evanhanders/arithmetic 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 "evanhanders/arithmetic" \ --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": "evanhanders/arithmetic", "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 "evanhanders/arithmetic" \ --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": "evanhanders/arithmetic", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use evanhanders/arithmetic with Docker Model Runner:
docker model run hf.co/evanhanders/arithmetic
Commit ·
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Parent(s): 78d9827
Create config.json
Browse files- config.json +18 -0
config.json
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{
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"activation_function": "relu",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 13,
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"embd_pdrop": 0.1,
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"eos_token_id": 13,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "2digit",
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"n_ctx": 15,
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"n_embd": 4,
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"n_head": 2,
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"n_layer": 1,
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"vocab_size": 14
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}
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