Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
sdpo
srpo
ema
text-generation-inference
Instructions to use SeongryongJung/qwen3-8b-chemistry-srpo-ema005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeongryongJung/qwen3-8b-chemistry-srpo-ema005 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeongryongJung/qwen3-8b-chemistry-srpo-ema005") model = AutoModelForCausalLM.from_pretrained("SeongryongJung/qwen3-8b-chemistry-srpo-ema005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download results/training_score.png from SeongryongJung/qwen3-8b-chemistry-srpo-ema005: direct link, hf CLI and curl.
- Browser
- Download file 104 kB
-
https://huggingface.co/SeongryongJung/qwen3-8b-chemistry-srpo-ema005/resolve/main/results/training_score.png
- Command line
-
hf download hf://SeongryongJung/qwen3-8b-chemistry-srpo-ema005/results/training_score.png
-
curl -L -o training_score.png https://huggingface.co/SeongryongJung/qwen3-8b-chemistry-srpo-ema005/resolve/main/results/training_score.png
104 kB

- Xet hash:
- 2eade81479157742ffe8a384b628e13359b00e83161258af4fb2cbe70191fe51
- Size of remote file:
- 104 kB
- SHA256:
- c2becf23128bde1ef8fdd8b4dfdedad43634ed9579d34791cc34af38b62cfae4
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