Instructions to use Sentdex/WSB-GPT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sentdex/WSB-GPT-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sentdex/WSB-GPT-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Sentdex/WSB-GPT-7B") model = AutoModelForCausalLM.from_pretrained("Sentdex/WSB-GPT-7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Sentdex/WSB-GPT-7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sentdex/WSB-GPT-7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sentdex/WSB-GPT-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Sentdex/WSB-GPT-7B
- SGLang
How to use Sentdex/WSB-GPT-7B 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 "Sentdex/WSB-GPT-7B" \ --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": "Sentdex/WSB-GPT-7B", "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 "Sentdex/WSB-GPT-7B" \ --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": "Sentdex/WSB-GPT-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Sentdex/WSB-GPT-7B with Docker Model Runner:
docker model run hf.co/Sentdex/WSB-GPT-7B
Trying to run the notebook on my local environment but geetinf connection lost.I tried more than once.
#1
by witcher - opened
HTTPSConnectionPool(host='cdn-lfs.huggingface.co', port=443): Read timed out.
Got this error at after the 31st iteration
Downloading shards: 94%|ββββββββββ| 31/33 [29:30<01:54, 57.11s/it]
Notebook link-https://colab.research.google.com/drive/17XEqL1JcmVWjHkT-WczdYkJlNINacwG7?usp=sharing#scrollTo=FeFOsn07E2xM