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 checkpoint-992160/optimizer.pt from CLMBR/existential-there-quantifier-lstm-0: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/main/checkpoint-992160/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-0/checkpoint-992160/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/main/checkpoint-992160/optimizer.pt
544 MB
- Xet hash:
- 0c9cd61e50bf95aaffdbfb1d3f3ff391161daea91d29da46867d77300ca9d4f5
- Size of remote file:
- 544 MB
- SHA256:
- d58d897c2528e38789d0c4d443039dc51f19a73204c3a5cd7366774e9c73e9c4
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