How to use CLMBR/superlative-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-3", device_map="auto")
https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/dc44816a6ca4f3c34c917670913416239d2c7545/checkpoint-2136960/trainer_state.json
hf download hf://CLMBR/superlative-quantifier-lstm-3@dc44816a6ca4f3c34c917670913416239d2c7545/checkpoint-2136960/trainer_state.json
curl -L -o trainer_state.json https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/dc44816a6ca4f3c34c917670913416239d2c7545/checkpoint-2136960/trainer_state.json
