Instructions to use vivecccccc/phi-2_kqa-program with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vivecccccc/phi-2_kqa-program with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="vivecccccc/phi-2_kqa-program", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("vivecccccc/phi-2_kqa-program", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use vivecccccc/phi-2_kqa-program with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "vivecccccc/phi-2_kqa-program" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "vivecccccc/phi-2_kqa-program", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/vivecccccc/phi-2_kqa-program
- SGLang
How to use vivecccccc/phi-2_kqa-program 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 "vivecccccc/phi-2_kqa-program" \ --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": "vivecccccc/phi-2_kqa-program", "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 "vivecccccc/phi-2_kqa-program" \ --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": "vivecccccc/phi-2_kqa-program", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use vivecccccc/phi-2_kqa-program with Docker Model Runner:
docker model run hf.co/vivecccccc/phi-2_kqa-program
Download special_tokens_map.json from vivecccccc/phi-2_kqa-program: direct link, hf CLI and curl.
- Browser
- Download file 1.8 kB
-
https://huggingface.co/vivecccccc/phi-2_kqa-program/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://vivecccccc/phi-2_kqa-program/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/vivecccccc/phi-2_kqa-program/resolve/main/special_tokens_map.json
1.8 kB
| { | |
| "additional_special_tokens": [ | |
| "<QueryRelation>", | |
| "<Or>", | |
| "<FilterDate>", | |
| "</args>", | |
| "</QueryAttrUnderCondition>", | |
| "</QueryRelation>", | |
| "<VerifyDate>", | |
| "<VerifyYear>", | |
| "<VerifyNum>", | |
| "</And>", | |
| "<FilterNum>", | |
| "</VerifyDate>", | |
| "<QueryName>", | |
| "<Find>", | |
| "</FilterDate>", | |
| "</arg>", | |
| "</FilterConcept>", | |
| "</QueryAttrQualifier>", | |
| "<QFilterNum>", | |
| "<SelectAmong>", | |
| "<FindAll>", | |
| "<args>", | |
| "</Relate>", | |
| "</SelectAmong>", | |
| "</QueryRelationQualifier>", | |
| "<FilterStr>", | |
| "</Or>", | |
| "</QueryAttr>", | |
| "<FilterConcept>", | |
| "<Relate>", | |
| "</QueryName>", | |
| "<QueryAttrUnderCondition>", | |
| "<QueryRelationQualifier>", | |
| "<QueryAttr>", | |
| "</QFilterYear>", | |
| "<QFilterYear>", | |
| "</FilterStr>", | |
| "</Count>", | |
| "</QFilterDate>", | |
| "</QFilterStr>", | |
| "<SelectBetween>", | |
| "</VerifyYear>", | |
| "</SelectBetween>", | |
| "<QueryAttrQualifier>", | |
| "<arg>", | |
| "</FilterYear>", | |
| "</VerifyNum>", | |
| "<And>", | |
| "<FilterYear>", | |
| "<VerifyStr>", | |
| "<QFilterStr>", | |
| "<QFilterDate>", | |
| "</QFilterNum>", | |
| "</VerifyStr>", | |
| "</FindAll>", | |
| "<Count>", | |
| "</Find>", | |
| "</FilterNum>" | |
| ], | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |