Instructions to use CLMBR/full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20febe74e93e7b36c5005375a132e983fe0ec33f945cd7c0ba067ea0b1d16dc1
- Size of remote file:
- 272 MB
- SHA256:
- cd9f4976da59717dfdd7b71820d25b945ec25c2e5a56cab86b0679a16efd1975
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