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:
- eeef41e0de51daed0dee8c125e2959499038557e59875699b7282749a0b634ee
- Size of remote file:
- 544 MB
- SHA256:
- af09d9fa9e5c20e92214bf0de457e7631ab9da1a3e179598af20fe03c8313389
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