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 special_tokens_map.json from microsoft/OptiMind-RL: direct link, hf CLI and curl.
- Browser
- Download file 98 Bytes
-
https://huggingface.co/microsoft/OptiMind-RL/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://microsoft/OptiMind-RL/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/microsoft/OptiMind-RL/resolve/main/special_tokens_map.json
98 Bytes
| { | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|return|>", | |
| "pad_token": "<|endoftext|>" | |
| } | |