Instructions to use hogru/MolReactGen-GuacaMol-Molecules with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hogru/MolReactGen-GuacaMol-Molecules with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="hogru/MolReactGen-GuacaMol-Molecules")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("hogru/MolReactGen-GuacaMol-Molecules")
model = AutoModelForCausalLM.from_pretrained("hogru/MolReactGen-GuacaMol-Molecules", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hogru/MolReactGen-GuacaMol-Molecules with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hogru/MolReactGen-GuacaMol-Molecules"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hogru/MolReactGen-GuacaMol-Molecules",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/hogru/MolReactGen-GuacaMol-Molecules

SGLang

How to use hogru/MolReactGen-GuacaMol-Molecules 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 "hogru/MolReactGen-GuacaMol-Molecules" \
    --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": "hogru/MolReactGen-GuacaMol-Molecules",
		"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 "hogru/MolReactGen-GuacaMol-Molecules" \
        --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": "hogru/MolReactGen-GuacaMol-Molecules",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use hogru/MolReactGen-GuacaMol-Molecules with Docker Model Runner:
```
docker model run hf.co/hogru/MolReactGen-GuacaMol-Molecules
```

MolReactGen-GuacaMol-Molecules / test_results.json

hogru

Update tokenizer, bump hf versions

92eb358 over 2 years ago

Raw History Blame Contribute Delete

249 Bytes

	{
	"epoch": 49.98,
	"test_accuracy": 0.41162851869286315,
	"test_loss": 1.1775240898132324,
	"test_perplexity": 3.246326631292486,
	"test_runtime": 55.1082,
	"test_samples_per_second": 4331.591,
	"test_steps_per_second": 16.93
	}