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-228960/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-228960/optimizer.pt
- Command line
-
hf download hf://CLMBR/existential-there-quantifier-lstm-3/checkpoint-228960/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/existential-there-quantifier-lstm-3/resolve/main/checkpoint-228960/optimizer.pt
544 MB
- Xet hash:
- b104cba05d5f64a7be6770e1422a6cf7d51ab1ada6c90cb809726c4bb6db7d1e
- Size of remote file:
- 544 MB
- SHA256:
- 5e0b61bee57895dc024ed239c990aa5afa94dc696ad59198a5642c79e68d3f2b
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