Instructions to use CoryMagic/name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoryMagic/name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CoryMagic/name")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("CoryMagic/name") model = AutoModelWithLMHead.from_pretrained("CoryMagic/name", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use CoryMagic/name with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CoryMagic/name" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CoryMagic/name", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/CoryMagic/name
- SGLang
How to use CoryMagic/name 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 "CoryMagic/name" \ --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": "CoryMagic/name", "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 "CoryMagic/name" \ --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": "CoryMagic/name", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use CoryMagic/name with Docker Model Runner:
docker model run hf.co/CoryMagic/name
File size: 725 Bytes
c05b5f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"auto_loss_scaling": false,
"device_iterations": 2,
"embedding_serialization_factor": 4,
"enable_half_partials": true,
"executable_cache_dir": "/tmp/exe_cache/language_modelling_from_scratch",
"execute_encoder_on_cpu_for_generation": false,
"gradient_accumulation_steps": 64,
"inference_device_iterations": 5,
"inference_replication_factor": 1,
"ipus_per_replica": 4,
"layers_per_ipu": [
0,
4,
4,
4
],
"matmul_proportion": 0.25,
"optimizer_state_offchip": true,
"optimum_version": "1.6.1",
"output_mode": "final",
"recompute_checkpoint_every_layer": true,
"replicated_tensor_sharding": false,
"replication_factor": 1,
"seed": 42,
"transformers_version": "4.25.1"
}
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