Instructions to use CLMBR/old-existential-there-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-existential-there-quantifier-lstm-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/optimizer.pt from CLMBR/old-existential-there-quantifier-lstm-1: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-1/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/old-existential-there-quantifier-lstm-1/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/old-existential-there-quantifier-lstm-1/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- 33355fc2ce2f6cd51e2a3ea8faeda264aa8c0922b05afb88832c5ba3e7f6002f
- Size of remote file:
- 544 MB
- SHA256:
- 8c3e9e276149a403bd9e9e48aec638bc7b266da1fbf36a09008fee140c668487
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