Instructions to use mkahari/RL_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkahari/RL_testing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mkahari/RL_testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download q-learning.pkl from mkahari/RL_testing: direct link, hf CLI and curl.
- Browser
- Download file 24.6 kB
-
https://huggingface.co/mkahari/RL_testing/resolve/main/q-learning.pkl
- Command line
-
hf download hf://mkahari/RL_testing/q-learning.pkl
-
curl -L -o q-learning.pkl https://huggingface.co/mkahari/RL_testing/resolve/main/q-learning.pkl
24.6 kB
- Xet hash:
- 8772258c05d0c0f7bd7c818f0de195a9c52480099a8bccb582fe423df185d865
- Size of remote file:
- 24.6 kB
- SHA256:
- d5e56f7c8f2a491d1d7fb6d8d952a5e6ad15f3601b542ef9214c677329ba6d86
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