Instructions to use CLMBR/existential-there-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-457920/tokenizer.json from CLMBR/existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/tokenizer.json
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-4/checkpoint-457920/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/tokenizer.json
1.2 MB
File too large to display, you can check the raw version instead.