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/optimizer.pt from CLMBR/existential-there-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-4/checkpoint-457920/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-4/resolve/main/checkpoint-457920/optimizer.pt
544 MB
- Xet hash:
- 5ec1bc13fcbc8811cf111fb1e760bb3550f2e012577545dfcf4f2feb5b76123e
- Size of remote file:
- 544 MB
- SHA256:
- f0b5fad0d7d3c5ab57694b304664fe51baea535a988ee00ec533e86e1bc48766
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