Instructions to use robometer/Robometer-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robometer/Robometer-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, RFM processor = AutoProcessor.from_pretrained("robometer/Robometer-4B") model = RFM.from_pretrained("robometer/Robometer-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from robometer/Robometer-4B: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/robometer/Robometer-4B/resolve/main/training_args.bin
- Command line
-
hf download hf://robometer/Robometer-4B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/robometer/Robometer-4B/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 5cd33d724d790ae3e1b71b015476caee6fd2ea33178920829abcd64cbab6f0b9
- Size of remote file:
- 5.91 kB
- SHA256:
- 7ee6d07f9f33f072bc6f199a3b4fb69371497b873dfd8b658a717513dff217b1
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