Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1679040/optimizer.pt from CLMBR/existential-there-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/checkpoint-1679040/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-3/checkpoint-1679040/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/checkpoint-1679040/optimizer.pt
544 MB
- Xet hash:
- 2f23770331b247f91c57b6e8cf3e1bf251bf66cb56a2b56773762fbaf6427745
- Size of remote file:
- 544 MB
- SHA256:
- a650f52df13e2fdbfef80e5e667675d4390af6a460d2dbd5e8c5049e3c53bcab
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