Instructions to use craa/100M__495 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use craa/100M__495 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="craa/100M__495")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("craa/100M__495") model = AutoModelForCausalLM.from_pretrained("craa/100M__495", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use craa/100M__495 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "craa/100M__495" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "craa/100M__495", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/craa/100M__495
- SGLang
How to use craa/100M__495 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 "craa/100M__495" \ --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": "craa/100M__495", "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 "craa/100M__495" \ --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": "craa/100M__495", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use craa/100M__495 with Docker Model Runner:
docker model run hf.co/craa/100M__495
File size: 282 Bytes
4f008ed 739973e 4f008ed 739973e 4f008ed 739973e 4f008ed | 1 2 3 4 5 6 7 8 9 10 | {
"epoch": 10.242587601078167,
"eval_accuracy": 0.3945371066453084,
"eval_loss": 3.302194118499756,
"eval_runtime": 147.1746,
"eval_samples": 18011,
"eval_samples_per_second": 122.378,
"eval_steps_per_second": 7.651,
"perplexity": 27.17219257328467
} |