Instructions to use CLMBR/superlative-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2136960/special_tokens_map.json from CLMBR/superlative-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
-
https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/0a91230e1b9681b1fa6dbb33dd23a50465be3954/checkpoint-2136960/special_tokens_map.json
- Command line
-
hf download hf://CLMBR/superlative-quantifier-lstm-3@0a91230e1b9681b1fa6dbb33dd23a50465be3954/checkpoint-2136960/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/0a91230e1b9681b1fa6dbb33dd23a50465be3954/checkpoint-2136960/special_tokens_map.json
75 Bytes
| { | |
| "eos_token": "<eos>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |