Reinforcement Learning
Transformers
Safetensors
English
text-generation-inference
unsloth
mistral
trl
openenv
grpo
agents
Instructions to use SParsh003/LifeOS-Trained-Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SParsh003/LifeOS-Trained-Agent with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SParsh003/LifeOS-Trained-Agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from SParsh003/LifeOS-Trained-Agent: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
-
https://huggingface.co/SParsh003/LifeOS-Trained-Agent/resolve/main/tokenizer.json
- Command line
-
hf download hf://SParsh003/LifeOS-Trained-Agent/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SParsh003/LifeOS-Trained-Agent/resolve/main/tokenizer.json
3.67 MB
File too large to display, you can check the raw version instead.