Instructions to use finalgp3/Our_model_GandA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finalgp3/Our_model_GandA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="finalgp3/Our_model_GandA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("finalgp3/Our_model_GandA") model = AutoModelForCausalLM.from_pretrained("finalgp3/Our_model_GandA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use finalgp3/Our_model_GandA with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "finalgp3/Our_model_GandA" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "finalgp3/Our_model_GandA", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/finalgp3/Our_model_GandA
- SGLang
How to use finalgp3/Our_model_GandA 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 "finalgp3/Our_model_GandA" \ --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": "finalgp3/Our_model_GandA", "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 "finalgp3/Our_model_GandA" \ --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": "finalgp3/Our_model_GandA", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use finalgp3/Our_model_GandA with Docker Model Runner:
docker model run hf.co/finalgp3/Our_model_GandA
Commit History
-
Update config.json
Verified signature268da46 -
Update config.json
Verified signature2f63f24 -
Update config.json
Verified signature02f323e -
Update config.json
Verified signature7c4e5c2
-
Update config.json
Verified signature66cfcc4 -
Update config.json
Verified signature7577955 -
Update config.json
Verified signaturef6e6d63 -
Update config.json
Verified signature67ac1ef -
Update config.json
Verified signature1f799c0 -
Update config.json
Verified signature456b581 -
Update config.json
Verified signature212802a -
Update config.json
Verified signaturebe53743 -
Update config.json
Verified signature3dd9960 -
Update config.json
Verified signaturec9a63a8 -
Update config.json
Verified signaturec7409df -
Update config.json
Verified signature906ab11 -
Update config.json
Verified signature4fa9975 -
Update config.json
Verified signaturec281144 -
Update config.json
Verified signature4017309 -
Update config.json
Verified signature197384f -
Update config.json
Verified signaturebb4e574 -
Update config.json
Verified signatured55bb30 -
Update config.json
Verified signature9874a6b -
Update config.json
Verified signatured101ffa -
Update config.json
Verified signatureed1c82a -
Update config.json
Verified signatureac9ee5c -
Update config.json
Verified signaturef1fbaf4 -
Upload 4 files
Verified signature7b511a9
-
Create README.md
Verified signature2e317fb -
Upload 8 files
Verified signatureb12292b -
initial commit
Verified signatured803eb1