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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9273fdfa48edf0d4b053255660b3db9d4002cd72b6f21e482f9b3d40d8cf9ae
- Size of remote file:
- 4.22 kB
- SHA256:
- 228468f87591cb144781dcd90bccb7308dd6f6a3b1542fd19cad8dc4c74556aa
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