Instructions to use CLMBR/passive-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/passive-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/passive-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16cf276423c20e239736855e9b7c8ed8ffd4ba3f151bb249e88d792681757c02
- Size of remote file:
- 4.22 kB
- SHA256:
- c2c45bc02199cd985ab60e8904c6d5a63a336d19b987b9150edc41859e791cb4
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