Text Generation
Transformers
prism_custom
feature-extraction
prism
custom-architecture
trust-remote-code
neural-architecture-search
custom_code
Instructions to use BaseIntelligence/top-prism-architecture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaseIntelligence/top-prism-architecture with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BaseIntelligence/top-prism-architecture", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BaseIntelligence/top-prism-architecture", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BaseIntelligence/top-prism-architecture with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BaseIntelligence/top-prism-architecture" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BaseIntelligence/top-prism-architecture", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BaseIntelligence/top-prism-architecture
- SGLang
How to use BaseIntelligence/top-prism-architecture 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 "BaseIntelligence/top-prism-architecture" \ --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": "BaseIntelligence/top-prism-architecture", "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 "BaseIntelligence/top-prism-architecture" \ --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": "BaseIntelligence/top-prism-architecture", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BaseIntelligence/top-prism-architecture with Docker Model Runner:
docker model run hf.co/BaseIntelligence/top-prism-architecture
Download METRICS.json from BaseIntelligence/top-prism-architecture: direct link, hf CLI and curl.
- Browser
- Download file 24.2 kB
-
https://huggingface.co/BaseIntelligence/top-prism-architecture/resolve/main/METRICS.json
- Command line
-
hf download hf://BaseIntelligence/top-prism-architecture/METRICS.json
-
curl -L -o METRICS.json https://huggingface.co/BaseIntelligence/top-prism-architecture/resolve/main/METRICS.json
24.2 kB
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