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 trainer_state.json from robometer/Robometer-4B: direct link, hf CLI and curl.
- Browser
- Download file 728 kB
-
https://huggingface.co/robometer/Robometer-4B/resolve/main/trainer_state.json
- Command line
-
hf download hf://robometer/Robometer-4B/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/robometer/Robometer-4B/resolve/main/trainer_state.json
728 kB
File too large to display, you can check the raw version instead.