Reinforcement Learning
Transformers
Safetensors
English
gpt_oss
text-generation
optimization
operations-research
milp
gurobi
Instructions to use microsoft/OptiMind-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/OptiMind-RL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/OptiMind-RL") model = AutoModelForCausalLM.from_pretrained("microsoft/OptiMind-RL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from microsoft/OptiMind-RL: direct link, hf CLI and curl.
- Browser
- Download file 177 Bytes
-
https://huggingface.co/microsoft/OptiMind-RL/resolve/main/generation_config.json
- Command line
-
hf download hf://microsoft/OptiMind-RL/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/microsoft/OptiMind-RL/resolve/main/generation_config.json
177 Bytes
| { | |
| "bos_token_id": 199998, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 200002, | |
| 199999, | |
| 200012 | |
| ], | |
| "pad_token_id": 199999, | |
| "transformers_version": "4.55.0.dev0" | |
| } | |