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 merges.txt from SeongryongJung/qwen3-4b-chemistry-srpo-ema005: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/SeongryongJung/qwen3-4b-chemistry-srpo-ema005/resolve/main/merges.txt
- Command line
-
hf download hf://SeongryongJung/qwen3-4b-chemistry-srpo-ema005/merges.txt
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curl -L -o merges.txt https://huggingface.co/SeongryongJung/qwen3-4b-chemistry-srpo-ema005/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.