Instructions to use Finisha-F-scratch/InutileGheya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-F-scratch/InutileGheya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Finisha-F-scratch/InutileGheya")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/InutileGheya") model = AutoModelForCausalLM.from_pretrained("Finisha-F-scratch/InutileGheya", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Finisha-F-scratch/InutileGheya with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Finisha-F-scratch/InutileGheya" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Finisha-F-scratch/InutileGheya", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Finisha-F-scratch/InutileGheya
- SGLang
How to use Finisha-F-scratch/InutileGheya 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 "Finisha-F-scratch/InutileGheya" \ --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": "Finisha-F-scratch/InutileGheya", "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 "Finisha-F-scratch/InutileGheya" \ --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": "Finisha-F-scratch/InutileGheya", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Finisha-F-scratch/InutileGheya with Docker Model Runner:
docker model run hf.co/Finisha-F-scratch/InutileGheya
Commit History
-
Update README.md
Verified signature61f1ba9
-
Update README.md
Verified signaturea526fc6 -
Update README.md
Verified signatureabede5b -
Update README.md
Verified signature2ec3bd7 -
Model save
Verified signaturec32927a -
Training in progress, epoch 7
Verified signatureebb68e4 -
Training in progress, epoch 6
Verified signature299d2dc -
Training in progress, epoch 5
Verified signaturea87828e -
Training in progress, epoch 4
Verified signature615de6a -
Training in progress, epoch 3
Verified signature5fa8393 -
Training in progress, epoch 2
Verified signaturecce300b -
Training in progress, epoch 1
Verified signature80d9696 -
Model save
Verified signature7d85dc3 -
Training in progress, epoch 5
Verified signature955801d -
Training in progress, epoch 4
Verified signature45f3c26 -
Training in progress, epoch 3
Verified signatureba61cfe -
Training in progress, epoch 2
Verified signature69bf727 -
Training in progress, epoch 1
Verified signature7882358 -
initial commit
Verified signature5d3b5e1