Instructions to use CLMBR/existential-there-quantifier-lstm-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLMBR/existential-there-quantifier-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/training_args.bin
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-0@8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/8f54bca8e5d3d39f752c4daaf80ad6aaa992ebc5/training_args.bin
4.28 kB
- Xet hash:
- 30cc0f9cb36e26f3f1e265a32f30150087e4e870184d38ab731a44078ecf05ad
- Size of remote file:
- 4.28 kB
- SHA256:
- 136e613d51acafbee8af9c6e6c42e3726ef5868d9aa5657741f09a6d143e3dcb
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