Reinforcement Learning
Transformers
PyTorch
decision_transformer
feature-extraction
deep-reinforcement-learning
decision-transformer
gym-continous-control
Instructions to use edbeeching/decision-transformer-gym-walker2d-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edbeeching/decision-transformer-gym-walker2d-medium with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("edbeeching/decision-transformer-gym-walker2d-medium") model = AutoModel.from_pretrained("edbeeching/decision-transformer-gym-walker2d-medium") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert
This new file is equivalent to pytorch_model.bin but safe in the sense that
no arbitrary code can be put into it.
These files also happen to load much faster than their pytorch counterpart:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
The widgets on your model page will run using this model even if this is not merged
making sure the file actually works.
If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions
Feel free to ignore this PR.