Instructions to use or4cl3ai/SquanchNastyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use or4cl3ai/SquanchNastyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="or4cl3ai/SquanchNastyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("or4cl3ai/SquanchNastyAI", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use or4cl3ai/SquanchNastyAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "or4cl3ai/SquanchNastyAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "or4cl3ai/SquanchNastyAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/or4cl3ai/SquanchNastyAI
- SGLang
How to use or4cl3ai/SquanchNastyAI 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 "or4cl3ai/SquanchNastyAI" \ --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": "or4cl3ai/SquanchNastyAI", "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 "or4cl3ai/SquanchNastyAI" \ --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": "or4cl3ai/SquanchNastyAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use or4cl3ai/SquanchNastyAI with Docker Model Runner:
docker model run hf.co/or4cl3ai/SquanchNastyAI
Update config.json
Browse files- config.json +2 -2
config.json
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{
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"model_type": "
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"model_name": "SquanchNasty AI Model",
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"pipeline": "advanced_conversation",
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"max_length": 4096,
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"pipelines": [
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{
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"name": "advanced_conversation",
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"type": "
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"parameters": {
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"num_layers": 36,
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"hidden_size": 2048,
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{
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"model_type": "Transformers",
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"model_name": "SquanchNasty AI Model",
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"pipeline": "advanced_conversation",
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"max_length": 4096,
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"pipelines": [
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{
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"name": "advanced_conversation",
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"type": "Transformer",
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"parameters": {
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"num_layers": 36,
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"hidden_size": 2048,
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