Instructions to use CLMBR/superlative-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-0 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 549 Bytes
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"architectures": [
"RNNForLanguageModeling"
],
"bidirectional": false,
"dropout_p": 0.1,
"emb_init_range": 0.1,
"embedding_dim": 1024,
"embedding_kwargs": {},
"hidden_dim": 1024,
"lin_init_range": 0.03125,
"lm_in_features": 1024,
"model_type": "rnn",
"num_layers": 2,
"output_last_state": false,
"output_recurrent_outputs": false,
"recur_init_range": 0.03125,
"rnn_kwargs": {},
"rnn_type": "LSTM",
"tie_weights": true,
"torch_dtype": "float32",
"transformers_version": "4.33.3",
"vocab_size": 50002
}
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