Reinforcement Learning
Transformers
Safetensors
English
qwen2
text-generation
Search
QuestionAnswering
text-generation-inference
Instructions to use SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base") model = AutoModelForCausalLM.from_pretrained("SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base/resolve/main/generation_config.json
- Command line
-
hf download hf://SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base/resolve/main/generation_config.json
117 Bytes
| { | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151643, | |
| "max_new_tokens": 2048, | |
| "transformers_version": "4.47.1" | |
| } | |