Instructions to use aliangdw/Robometer-4B-LIBERO-No-Fail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliangdw/Robometer-4B-LIBERO-No-Fail with Transformers:
# Load model directly from transformers import AutoProcessor, RFM processor = AutoProcessor.from_pretrained("aliangdw/Robometer-4B-LIBERO-No-Fail") model = RFM.from_pretrained("aliangdw/Robometer-4B-LIBERO-No-Fail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.yaml
Browse files- config.yaml +0 -1
config.yaml
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@@ -36,7 +36,6 @@ data:
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eval_datasets:
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- mw
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eval_subset_size: null
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fps: 10
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load_embeddings: false
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max_frames: 4
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max_frames_after_preprocessing: 64
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eval_datasets:
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- mw
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eval_subset_size: null
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load_embeddings: false
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max_frames: 4
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max_frames_after_preprocessing: 64
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