Instructions to use CLMBR/existential-there-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/tokenizer.json from CLMBR/existential-there-quantifier-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-1/resolve/main/checkpoint-1908000/tokenizer.json
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-1/checkpoint-1908000/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CLMBR/existential-there-quantifier-lstm-1/resolve/main/checkpoint-1908000/tokenizer.json
1.2 MB
File too large to display, you can check the raw version instead.