Instructions to use aliangdw/Robometer-4B-LIBERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliangdw/Robometer-4B-LIBERO with Transformers:
# Load model directly from transformers import AutoProcessor, RFM processor = AutoProcessor.from_pretrained("aliangdw/Robometer-4B-LIBERO") model = RFM.from_pretrained("aliangdw/Robometer-4B-LIBERO") - Notebooks
- Google Colab
- Kaggle
Update config.yaml
Browse files- config.yaml +0 -1
config.yaml
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@@ -117,7 +117,6 @@ model:
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progress_loss_type: discrete
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quantization: false
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rewind: null
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rewind_scale_model: false
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torch_dtype: bfloat16
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train_language_model: true
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train_preference_head: true
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progress_loss_type: discrete
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quantization: false
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rewind: null
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torch_dtype: bfloat16
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train_language_model: true
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train_preference_head: true
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