Instructions to use MohamedISSAOUI/ROS2Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedISSAOUI/ROS2Chat with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MohamedISSAOUI/ROS2Chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MohamedISSAOUI/ROS2Chat: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/MohamedISSAOUI/ROS2Chat/resolve/main/training_args.bin
- Command line
-
hf download hf://MohamedISSAOUI/ROS2Chat/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MohamedISSAOUI/ROS2Chat/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- cc1e789c4064aebc7ea5944ca3bcae40cf00ace34dc70b37530416534cc57191
- Size of remote file:
- 6.23 kB
- SHA256:
- 33ca93cfba30ad9d39944a20a0278e90ce4dea631db8f16b0c81f89c3bc850f0
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