Instructions to use Yoshisaur/kono-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yoshisaur/kono-chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Yoshisaur/kono-chat")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Yoshisaur/kono-chat") model = AutoModelForCausalLM.from_pretrained("Yoshisaur/kono-chat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Yoshisaur/kono-chat with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Yoshisaur/kono-chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Yoshisaur/kono-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Yoshisaur/kono-chat
- SGLang
How to use Yoshisaur/kono-chat 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 "Yoshisaur/kono-chat" \ --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": "Yoshisaur/kono-chat", "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 "Yoshisaur/kono-chat" \ --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": "Yoshisaur/kono-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Yoshisaur/kono-chat with Docker Model Runner:
docker model run hf.co/Yoshisaur/kono-chat
lr=0.00001, epoch=500
Browse files- all_results.json +21 -15
- config.json +5 -5
- eval_results.json +10 -8
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- train_results.json +12 -8
- trainer_state.json +112 -10
- training_args.bin +2 -2
all_results.json
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config.json
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