Instructions to use CLMBR/superlative-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f61c9dd0b29eb6bea5c0bc2ea3358c9e2d0288c3aa3ee433fd5a90132a63ab2
- Size of remote file:
- 4.28 kB
- SHA256:
- 22da40a41a7031262544e2d3273a2c0daecfc2384b6df58e4d65f8f6439f2331
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