Instructions to use susnato/phi-1_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/phi-1_dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="susnato/phi-1_dev")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("susnato/phi-1_dev") model = AutoModelForCausalLM.from_pretrained("susnato/phi-1_dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use susnato/phi-1_dev with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "susnato/phi-1_dev" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "susnato/phi-1_dev", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/susnato/phi-1_dev
- SGLang
How to use susnato/phi-1_dev 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 "susnato/phi-1_dev" \ --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": "susnato/phi-1_dev", "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 "susnato/phi-1_dev" \ --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": "susnato/phi-1_dev", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use susnato/phi-1_dev with Docker Model Runner:
docker model run hf.co/susnato/phi-1_dev
File size: 659 Bytes
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"architectures": [
"PhiForCausalLM"
],
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "gelu_new",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 2048,
"model_type": "phi",
"num_attention_heads": 32,
"num_hidden_layers": 24,
"pretraining_tp": 1,
"resid_pdrop": 0.0,
"embd_pdrop": 0.0,
"layer_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"partial_rotary_factor": 0.5,
"qk_layernorm": false,
"tie_word_embeddings": false,
"transformers_version": "4.34.0.dev0",
"torch_dtype": "float16",
"use_cache": true,
"vocab_size": 51200
}
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