Text Generation
Transformers
PyTorch
molexar
chemistry
molecule-generation
drug-discovery
fragment-selfies
molecular-foundation-model
Instructions to use fairydance/molexar-10m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fairydance/molexar-10m-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="fairydance/molexar-10m-base")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("fairydance/molexar-10m-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use fairydance/molexar-10m-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fairydance/molexar-10m-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fairydance/molexar-10m-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fairydance/molexar-10m-base
- SGLang
How to use fairydance/molexar-10m-base 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 "fairydance/molexar-10m-base" \ --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": "fairydance/molexar-10m-base", "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 "fairydance/molexar-10m-base" \ --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": "fairydance/molexar-10m-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fairydance/molexar-10m-base with Docker Model Runner:
docker model run hf.co/fairydance/molexar-10m-base
- Xet hash:
- e0f5e8d4c5063a5cc3fa7778669457dea0ff170d1b87d2beff6c7cd9d5aa69a9
- Size of remote file:
- 59.3 MB
- SHA256:
- 1feaef7df8ac4cd44ba350ecadd39c05f26db1a481b936dc7b258c8b6e1b6c2e
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