Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
sdpo
srpo
ema
text-generation-inference
Instructions to use SeongryongJung/qwen3-4b-chemistry-srpo-ema005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeongryongJung/qwen3-4b-chemistry-srpo-ema005 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeongryongJung/qwen3-4b-chemistry-srpo-ema005") model = AutoModelForCausalLM.from_pretrained("SeongryongJung/qwen3-4b-chemistry-srpo-ema005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from SeongryongJung/qwen3-4b-chemistry-srpo-ema005: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/SeongryongJung/qwen3-4b-chemistry-srpo-ema005/resolve/main/vocab.json
- Command line
-
hf download hf://SeongryongJung/qwen3-4b-chemistry-srpo-ema005/vocab.json
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curl -L -o vocab.json https://huggingface.co/SeongryongJung/qwen3-4b-chemistry-srpo-ema005/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.