Instructions to use yodi/karina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yodi/karina with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="yodi/karina")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("yodi/karina") model = AutoModelForCausalLM.from_pretrained("yodi/karina", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use yodi/karina with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yodi/karina" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yodi/karina", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/yodi/karina
- SGLang
How to use yodi/karina 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 "yodi/karina" \ --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": "yodi/karina", "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 "yodi/karina" \ --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": "yodi/karina", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use yodi/karina with Docker Model Runner:
docker model run hf.co/yodi/karina
Commit History
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Merge branch 'main' of hf.co:yodi/karina
yodiadityafdfcc30 -
retraining final press release
yodiadityaa73fac0
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Fix Tokenizer Class (#2)
- Fix Tokenizer Class (5cc473ebfca562f1d964f5dcb0b49eb52c11827e) Co-authored-by: Lantang Satriatama <lstama@users.noreply.huggingface.co>a15fdfc
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Merge branch 'main' of hf.co:yodi/karina
yodiaditya2495ef1 -
finetuning model
yodiadityaf744006
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (14e3b412bf535275e4505dcca78670708d95db3b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>077699e -
update generating
yodiadityad40f8e8
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update readme and re-train
yodiadityab3c9775
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add more questions answers
yodiaditya9802f86
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adding multi language
yodiaditya5840119 -
update README.md
yodiadityac317db4 -
update README.md
yodiadityab053ec7 -
update
yodiadityacdcdbf3 -
Upload BloomForCausalLM
c5a0cfc -
initial commit
58dd408