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
- Xet hash:
- 641c7023bb4475e66ec9ecf8aea803f98fc243e9f873ff4dca3965f52a89c146
- Size of remote file:
- 5.84 kB
- SHA256:
- bc53da4983318b5c2c8fd9b2c2a7fa6a9470b3609bc2a55be0cdb6ac55dc5fa6
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