Text Generation
Transformers
Safetensors
llama
slmkit
from-scratch
abc-music
music
abc-notation
folk-music
symbolic-music
text-generation-inference
Instructions to use m87techlabs/abc-folk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m87techlabs/abc-folk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="m87techlabs/abc-folk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("m87techlabs/abc-folk") model = AutoModelForCausalLM.from_pretrained("m87techlabs/abc-folk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use m87techlabs/abc-folk with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "m87techlabs/abc-folk" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "m87techlabs/abc-folk", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/m87techlabs/abc-folk
- SGLang
How to use m87techlabs/abc-folk 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 "m87techlabs/abc-folk" \ --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": "m87techlabs/abc-folk", "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 "m87techlabs/abc-folk" \ --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": "m87techlabs/abc-folk", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use m87techlabs/abc-folk with Docker Model Runner:
docker model run hf.co/m87techlabs/abc-folk
Download generation_config.json from m87techlabs/abc-folk: direct link, hf CLI and curl.
- Browser
- Download file 122 Bytes
-
https://huggingface.co/m87techlabs/abc-folk/resolve/main/generation_config.json
- Command line
-
hf download hf://m87techlabs/abc-folk/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/m87techlabs/abc-folk/resolve/main/generation_config.json
122 Bytes
| { | |
| "do_sample": true, | |
| "temperature": 0.8, | |
| "top_k": 0, | |
| "top_p": 1.0, | |
| "max_new_tokens": 600, | |
| "eos_token_id": 1 | |
| } | |