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-1908000/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-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-0/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-0/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- ff368bae3fcf83fb36fb8b8f6e4a3a06bfe3a313c3a15b519a828b4619941de5
- Size of remote file:
- 544 MB
- SHA256:
- 382529c42309111f7e4b059e071ecc25e16b415dc2f09b70dbc0a17b69ca9a42
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